Pieter Abbeel

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Learning compound multi-step controllers under unknown dynamics

Sergey Levine, Weiqiao Han, Pieter Abbeel, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Inferring Reward Functions from Demonstrators with Unknown Biases

Anca D. Dragan, Pieter Abbeel, Rohin Shah, 2018 .

Responsive Safety in Reinforcement Learning

Pieter Abbeel, Adam Stooke, Joshua Achiam, 2020, ICML 2020.

Learning dexterous manipulation for a soft robotic hand from human demonstrations

Sergey Levine, Pieter Abbeel, Abhishek Gupta, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Self-Supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation

Sergey Levine, Pieter Abbeel, Gregory Kahn, 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Efficient Online Estimation of Empowerment for Reinforcement Learning pdf

Pieter Abbeel, Stas Tiomkin, Ruihan Zhao, 2020, ArXiv.

Scaling up Gaussian Belief Space Planning Through Covariance-Free Trajectory Optimization and Automatic Differentiation

Pieter Abbeel, Michael Laskey, Kenneth Y. Goldberg, 2014, WAFR.

Tracking-Based Semi-supervised Learning

Nicholas Roy, Hugh Durrant-Whyte, Pieter Abbeel, 2012 .

Learning Visual Servoing with Deep Features and Fitted Q-Iteration pdf

Sergey Levine, Pieter Abbeel, Alex X. Lee, 2017, ICLR.

Inverse Reinforcement Learning

Pieter Abbeel, Andrew Y. Ng, A. Ng, 2017, Encyclopedia of Machine Learning and Data Mining.

Guided search for task and motion plans using learned heuristics

Dylan Hadfield-Menell, Pieter Abbeel, Abhishek Gupta, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines pdf

Alexandre M. Bayen, Pieter Abbeel, Sham M. Kakade, 2018, ICLR.

Autonomous Helicopter Flight Using Reinforcement Learning

Pieter Abbeel, Andrew Y. Ng, Adam Coates, 2010, Encyclopedia of Machine Learning.

Assisted Teleoperation Strategies for Aggressively Controlling a Robot Arm with 2D Input

Nicholas Roy, Hugh Durrant-Whyte, Pieter Abbeel, 2012 .

Grounding spatial relations for human-robot interaction

Dan Klein, Trevor Darrell, Pieter Abbeel, 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Discriminative Training of Kalman Filters

Sebastian Thrun, Pieter Abbeel, Andrew Y. Ng, 2005, Robotics: Science and Systems.

Accelerated Methods for Deep Reinforcement Learning pdf

Pieter Abbeel, Adam Stooke, P. Abbeel, 2018, ArXiv.

Learning contact-rich manipulation skills with guided policy search

Nolan Wagener, Sergey Levine, Pieter Abbeel, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Guiding Policies with Language via Meta-Learning pdf

John DeNero, Sergey Levine, Pieter Abbeel, 2018, ICLR.

Deep reinforcement learning for tensegrity robot locomotion

Sergey Levine, Pieter Abbeel, Vytas SunSpiral, 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Learning to Control a Low-Cost Manipulator Using Data-Efficient Reinforcement Learning

Nicholas Roy, Hugh Durrant-Whyte, Pieter Abbeel, 2012 .

On a Connection between Importance Sampling and the Likelihood Ratio Policy Gradient

Pieter Abbeel, Jie Tang, P. Abbeel, 2010, NIPS.

Establishing Appropriate Trust via Critical States

Anca D. Dragan, Sandy H. Huang, Pieter Abbeel, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Spatial Formation Model for Initiating Conversation

Nicholas Roy, Hugh Durrant-Whyte, Pieter Abbeel, 2012 .

LaND: Learning to Navigate From Disengagements pdf

Pieter Abbeel, Sergey Levine, Gregory Kahn, 2020, IEEE Robotics and Automation Letters.

Using inaccurate models in reinforcement learning

Pieter Abbeel, Andrew Y. Ng, Morgan Quigley, 2006, ICML.

Deep learning helicopter dynamics models

Pieter Abbeel, Ali Punjani, P. Abbeel, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

A textured object recognition pipeline for color and depth image data

Pieter Abbeel, Jie Tang, Stephen Miller, 2012, 2012 IEEE International Conference on Robotics and Automation.

Transfer Learning for Estimating Causal Effects using Neural Networks pdf

Pieter Abbeel, Jasjeet S. Sekhon, Sören R. Künzel, 2018, ArXiv.

Near Optimal Chernoff Bounds for Markov Decision Processes

Pieter Abbeel, 2012, NIPS 2012.

TSC-DL: Unsupervised trajectory segmentation of multi-modal surgical demonstrations with Deep Learning

Trevor Darrell, Pieter Abbeel, Sanjay Krishnan, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Optimized color models for high-quality 3D scanning

Pieter Abbeel, Karthik S. Narayan, P. Abbeel, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Learning Factor Graphs in Polynomial Time & Sample Complexity

Pieter Abbeel, Andrew Y. Ng, Daphne Koller, 2005, UAI.

One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning pdf

Sergey Levine, Pieter Abbeel, Chelsea Finn, 2018, Robotics: Science and Systems.

Preferences Implicit in the State of the World pdf

Anca D. Dragan, Pieter Abbeel, Rohin Shah, 2018, ICLR.

Uncertainty-Aware Reinforcement Learning for Collision Avoidance pdf

Sergey Levine, Pieter Abbeel, Gregory Kahn, 2017, ArXiv.

Modular Architecture for StarCraft II with Deep Reinforcement Learning pdf

Trevor Darrell, Pieter Abbeel, Huazhe Xu, 2018, AIIDE.

Performance analysis and terrain classification for a legged robot over rough terrain

Duncan W. Haldane, Ronald S. Fearing, Pieter Abbeel, 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Hierarchical Imitation Learning via Variational Inference of Control Programs

Dawn Song, Ion Stoica, Ken Goldberg, 2018 .

One-Shot Visual Imitation Learning via Meta-Learning

Sergey Levine, Pieter Abbeel, Chelsea Finn, 2017, CoRL.

Overcoming Exploration in Reinforcement Learning with Demonstrations

Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel, 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Using Classical Planners for Tasks with Continuous Operators in Robotics

Pieter Abbeel, Stuart J. Russell, Lorenzo Riano, 2013 .

Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion

Pieter Abbeel, Andrew Y. Ng, J. Zico Kolter, 2007, NIPS.

Apprenticeship learning for helicopter control

Pieter Abbeel, Andrew Y. Ng, Adam Coates, 2009, CACM.

Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning pdf

Jinwoo Shin, Pieter Abbeel, Kimin Lee, 2020, NeurIPS.

Superhuman performance of surgical tasks by robots using iterative learning from human-guided demonstrations

Pieter Abbeel, Andrew Wan, Kenneth Y. Goldberg, 2010, 2010 IEEE International Conference on Robotics and Automation.

Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization pdf

Sergey Levine, Pieter Abbeel, Chelsea Finn, 2016, ICML.

A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models pdf

Sergey Levine, Pieter Abbeel, Chelsea Finn, 2016, ArXiv.

Learning latent state representation for speeding up exploration pdf

Lorenzo Natale, Pieter Abbeel, Abhishek Gupta, 2019, ArXiv.

Machine Learning for Robotics

Pieter Abbeel, P. Abbeel, 2012, ECML/PKDD.

Hallucinative Topological Memory for Zero-Shot Visual Planning pdf

Pieter Abbeel, Thanard Kurutach, Kara Liu, 2020, ICML.

Inverse Reinforcement Learning via Deep Gaussian Process pdf

Pieter Abbeel, Andreas Damianou, Ming Jin, 2015, UAI.

Alpha-Beta Divergences Discover Micro and Macro Structures in Data

Pieter Abbeel, Ali Punjani, Karthik S. Narayan, 2015, ICML.

RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning pdf

Peter L. Bartlett, Pieter Abbeel, Xi Chen, 2016, ArXiv.

Blue Gripper: A Robust, Low-Cost, and Force-Controlled Robot Hand

Pieter Abbeel, Menglong Guo, Stephen McKinley, 2019, 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE).

Information-Theoretic Planning with Trajectory Optimization for Dense 3D Mapping

Vijay Kumar, Nathan Michael, Pieter Abbeel, 2015, Robotics: Science and Systems.

Gravity-Based Robotic Cloth Folding

Pieter Abbeel, Kenneth Y. Goldberg, Jur P. van den Berg, 2010, WAFR.

Mutual Alignment Transfer Learning pdf

Pieter Abbeel, Markus Wulfmeier, Ingmar Posner, 2017, CoRL.

Mutual Information Maximization for Robust Plannable Representations pdf

Pieter Abbeel, Ignasi Clavera, Yiming Ding, 2019, ArXiv.

Learning accurate kinematic control of cable-driven surgical robots using data cleaning and Gaussian Process Regression

Pieter Abbeel, Michael Laskey, Sanjay Krishnan, 2014, 2014 IEEE International Conference on Automation Science and Engineering (CASE).

Finding Locally Optimal, Collision-Free Trajectories with Sequential Convex Optimization

Pieter Abbeel, John Schulman, Alex X. Lee, 2013, Robotics: Science and Systems.

Policy transfer via modularity and reward guiding

Pieter Abbeel, David Held, Ignasi Clavera, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Area Under Curve

Sanjoy Dasgupta, Hannu Toivonen, Pieter Abbeel, 2020, Encyclopedia of Machine Learning.

Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation

Ken Goldberg, Pieter Abbeel, Tianhao Zhang, 2017, ICRA.

Adaptive Online Planning for Continual Lifelong Learning pdf

Pieter Abbeel, Igor Mordatch, Kevin Lu, 2019, ArXiv.

Inverse Reinforcement Learning

Pieter Abbeel, Andrew Y. Ng, A. Ng, 2010, Encyclopedia of Machine Learning and Data Mining.

Exploration and apprenticeship learning in reinforcement learning

Pieter Abbeel, Andrew Y. Ng, A. Ng, 2005, ICML.

Universal Planning Networks: Learning Generalizable Representations for Visuomotor Control

Allan Jabri, Sergey Levine, Pieter Abbeel, 2018, ICML.

Reverse Curriculum Generation for Reinforcement Learning pdf

Pieter Abbeel, David Held, Markus Wulfmeier, 2017, CoRL.

The limits and potentials of deep learning for robotics

Wolfram Burgard, Oliver Brock, Peter I. Corke, 2018, Int. J. Robotics Res..

Learning for control from multiple demonstrations

Pieter Abbeel, Andrew Y. Ng, Adam Coates, 2008, ICML '08.

Construction of Cubic Structures with Quadrotor Teams

Nicholas Roy, Pieter Abbeel, Hugh Durrant-Whyte, 2012 .

Insect-machine hybrid system

Zhang Chao, Pieter Abbeel, Travis L. Massey, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Toward asymptotically optimal motion planning for kinodynamic systems using a two-point boundary value problem solver

Pieter Abbeel, Jur P. van den Berg, Sachin Patil, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

BigBIRD: A large-scale 3D database of object instances

Pieter Abbeel, Arjun Singh, Tudor Achim, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Sparse Graphical Memory for Robust Planning pdf

Pieter Abbeel, Deepak Pathak, Ajay Jain, 2020, NeurIPS.

Physics-based trajectory optimization for grasping in cluttered environments

Pieter Abbeel, Sachin Patil, Nikita Kitaev, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Reinforcement Learning with Deep Energy-Based Policies

Sergey Levine, Pieter Abbeel, Haoran Tang, 2017, ICML.

Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings

Sergey Levine, Pieter Abbeel, Abhishek Gupta, 2018, ICML.

Generalized Hindsight for Reinforcement Learning pdf

Pieter Abbeel, Lerrel Pinto, Alexander C. Li, 2020, NeurIPS.

Policy Learning with Continuous Memory States for Partially Observed Robotic Control pdf

Sergey Levine, Pieter Abbeel, Chelsea Finn, 2015, ArXiv.

Safe Exploration in Markov Decision Processes pdf

Pieter Abbeel, Teodor Mihai Moldovan, P. Abbeel, 2012, ICML.

Robust Reinforcement Learning using Adversarial Populations pdf

Pieter Abbeel, Yuqing Du, Alexandre Bayen, 2020, ArXiv.

Learning force-based manipulation of deformable objects from multiple demonstrations

Sergey Levine, Pieter Abbeel, Abhishek Gupta, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Estimating arterial traffic conditions using sparse probe data

Alexandre M. Bayen, Pieter Abbeel, Aude Hofleitner, 2010, 13th International IEEE Conference on Intelligent Transportation Systems.

Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments pdf

Pieter Abbeel, Igor Mordatch, Ilya Sutskever, 2017, ICLR.

Asynchronous Methods for Model-Based Reinforcement Learning pdf

Pieter Abbeel, Ignasi Clavera, Yunzhi Zhang, 2019, CoRL.

Multi-Level Partitioning and Distribution of the Assignment Problem for Large-Scale Multi-Robot Task Allocation

Nicholas Roy, Pieter Abbeel, Hugh Durrant-Whyte, 2012 .

Evolved Policy Gradients

Pieter Abbeel, Phillip Isola, Rein Houthooft, 2018, NeurIPS.

SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning

Sergey Levine, Pieter Abbeel, Matthew J. Johnson, 2018, ICML.

Benchmarking Model-Based Reinforcement Learning pdf

Pieter Abbeel, Guodong Zhang, Jimmy Ba, 2019, ArXiv.

Sigma hulls for Gaussian belief space planning for imprecise articulated robots amid obstacles

Pieter Abbeel, Kenneth Y. Goldberg, Jur P. van den Berg, 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Self-Supervised Learning of Object Motion Through Adversarial Video Prediction

Pieter Abbeel, Chelsea Finn, Richard Zhang, 2018 .

Generalization through Simulation: Integrating Simulated and Real Data into Deep Reinforcement Learning for Vision-Based Autonomous Flight

Sergey Levine, Pieter Abbeel, Gregory Kahn, 2019, 2019 International Conference on Robotics and Automation (ICRA).

Geometric Programming for Aircraft Design Optimization Warren Hoburg

Pieter Abbeel, P. Abbeel, 2014 .

Meta Learning Shared Hierarchies pdf

Pieter Abbeel, Xi Chen, John Schulman, 2017, ICLR.

YCB Benchmarking Project : Object Set, Data Set and Their Applications (特集ロボットマニピュレーション革命)

Siddhartha S. Srinivasa, Kurt Konolige, Pieter Abbeel, 2017 .

One-shot learning of manipulation skills with online dynamics adaptation and neural network priors

Sergey Levine, Pieter Abbeel, Justin Fu, 2015, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model pdf

Wojciech Zaremba, Pieter Abbeel, Igor Mordatch, 2016, ArXiv.

Compression with Flows via Local Bits-Back Coding

Pieter Abbeel, Jonathan Ho, Evan Lohn, 2019, NeurIPS.

Learning to Manipulate Deformable Objects without Demonstrations pdf

Pieter Abbeel, Lerrel Pinto, Yilin Wu, 2019, Robotics: Science and Systems.

Multimodal blending for high-accuracy instance recognition

Pieter Abbeel, Arjun Singh, Justin Uang, 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Value Iteration Networks

Pieter Abbeel, Yi Wu, Aviv Tamar, 2016, NIPS.

The Off-Switch Game pdf

Anca D. Dragan, Dylan Hadfield-Menell, Pieter Abbeel, 2016, IJCAI.

Parameter Space Noise for Exploration pdf

Marcin Andrychowicz, Tamim Asfour, Pieter Abbeel, 2017, ICLR.

Learning Visual Feature Spaces for Robotic Manipulation with Deep Spatial Autoencoders pdf

Sergey Levine, Trevor Darrell, Pieter Abbeel, 2015, ArXiv.

Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

Yi Wu, Pieter Abbeel, Igor Mordatch, 2017, NIPS.

Denoising Diffusion Probabilistic Models pdf

Pieter Abbeel, Jonathan Ho, Ajay Jain, 2020, NeurIPS.

Self-Supervised Policy Adaptation during Deployment pdf

Alexei A. Efros, Yu Sun, Pieter Abbeel, 2020, ICLR.

Cloth grasp point detection based on multiple-view geometric cues with application to robotic towel folding

Pieter Abbeel, Jeremy Maitin-Shepard, Marco Cusumano-Towner, 2010, 2010 IEEE International Conference on Robotics and Automation.

Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization pdf

Kurt Keutzer, Joseph E. Gonzalez, Pieter Abbeel, 2019, MLSys.

Motion planning with sequential convex optimization and convex collision checking

Pieter Abbeel, Kenneth Y. Goldberg, Sachin Patil, 2014, Int. J. Robotics Res..

VIME: Variational Information Maximizing Exploration

Filip De Turck, Pieter Abbeel, Xi Chen, 2016, NIPS.

Apprenticeship learning and reinforcement learning with application to robotic control

Pieter Abbeel, P. Abbeel, 2008 .

Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics

Sergey Levine, Pieter Abbeel, S. Levine, 2014, NIPS.

Universal Planning Networks pdf

Allan Jabri, Sergey Levine, Pieter Abbeel, 2018, ICML.

Reinforcement Learning with Latent Flow pdf

Xiaofei Wang, Pieter Abbeel, Yang Gao, 2021, NeurIPS.

Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design pdf

Pieter Abbeel, Xi Chen, Yan Duan, 2019, ICML.

Reinforcement Learning with Augmented Data pdf

Pieter Abbeel, Kimin Lee, Adam Stooke, 2020, NeurIPS.

Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables

Pieter Abbeel, Jonathan Ho, Friso H. Kingma, 2019, ICML.

Policy Gradient Methods

Pieter Abbeel, Fernando Garcia Bermudez, P. Abbeel, 2008 .

The Path Inference Filter: Model-Based Low-Latency Map Matching of Probe Vehicle Data

Alexandre M. Bayen, Pieter Abbeel, Timothy Hunter, 2011, IEEE Transactions on Intelligent Transportation Systems.

Risk Aversion in Markov Decision Processes via Near Optimal Chernoff Bounds

Pieter Abbeel, Teodor Mihai Moldovan, P. Abbeel, 2012, NIPS.

The Importance of Sampling inMeta-Reinforcement Learning

Pieter Abbeel, Peter Chen, Ilya Sutskever, 2018, NeurIPS.

Plan Arithmetic: Compositional Plan Vectors for Multi-Task Control pdf

Sergey Levine, Trevor Darrell, Pieter Abbeel, 2019, ArXiv.

Model-Ensemble Trust-Region Policy Optimization pdf

Pieter Abbeel, Aviv Tamar, Yan Duan, 2018, ICLR.

The Path Inference Filter: Model-Based Low-Latency Map Matching of Probe Vehicle Data

Alexandre M. Bayen, Pieter Abbeel, Timothy Hunter, 2014, WAFR.

Reset-free guided policy search: Efficient deep reinforcement learning with stochastic initial states

Sergey Levine, Anurag Ajay, Pieter Abbeel, 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).

On the influence of ship motion prediction accuracy on motion planning and control of robotic manipulators on seaborne platforms

Jan Tommy Gravdahl, Pål Johan From, Pieter Abbeel, 2010, 2010 IEEE International Conference on Robotics and Automation.

Beyond lowest-warping cost action selection in trajectory transfer

Dylan Hadfield-Menell, Sandy H. Huang, Pieter Abbeel, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Variational Option Discovery Algorithms pdf

Pieter Abbeel, Joshua Achiam, Harrison Edwards, 2018, ArXiv.

Soft Actor-Critic Algorithms and Applications pdf

Henry Zhu, Sergey Levine, Sehoon Ha, 2018, ArXiv.

A non-rigid point and normal registration algorithm with applications to learning from demonstrations

Pieter Abbeel, Alex X. Lee, Shane T. Barratt, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Machine Learning for Helicopter Dynamics Models

Pieter Abbeel, Ali Punjani, P. Abbeel, 2014 .

Decoupling Representation Learning from Reinforcement Learning pdf

Pieter Abbeel, Kimin Lee, Adam Stooke, 2020, ArXiv.

One-Shot Hierarchical Imitation Learning of Compound Visuomotor Tasks pdf

Sergey Levine, Pieter Abbeel, Chelsea Finn, 2018, ArXiv.

On the Utility of Learning about Humans for Human-AI Coordination

Anca D. Dragan, Thomas L. Griffiths, Sanjit A. Seshia, 2019, NeurIPS.

Arriving on time: estimating travel time distributions on large-scale road networks pdf

Alexandre M. Bayen, Pieter Abbeel, Anastasios Kouvelas, 2013, ArXiv.

Robotics: Science and Systems VII

Nicholas Roy, Pieter Abbeel, Hugh Durrant-Whyte, 2012, RSS 2012.

The Motion Grammar: Linguistic Perception, Planning, and Control

Nicholas Roy, Hugh Durrant-Whyte, Pieter Abbeel, 2012 .

Autonomous Helicopter Aerobatics through Apprenticeship Learning

Pieter Abbeel, Andrew Y. Ng, Adam Coates, 2010, Int. J. Robotics Res..

Deep Unsupervised Cardinality Estimation pdf

Xi Chen, Ion Stoica, Pieter Abbeel, 2019, Proc. VLDB Endow..

Hierarchical Deep Reinforcement Learning Agent with Counter Self-play on Competitive Games

Sergey Levine, Trevor Darrell, Pieter Abbeel, 2018 .

Model-Based Reinforcement Learning via Meta-Policy Optimization pdf

Tamim Asfour, Pieter Abbeel, John Schulman, 2018, CoRL.

Learning deep neural network policies with continuous memory states

Sergey Levine, Pieter Abbeel, Chelsea Finn, 2015, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Scaling the mobile millennium system in the cloud

Alexandre M. Bayen, Pieter Abbeel, Michael J. Franklin, 2011, SoCC.

Domain randomization for transferring deep neural networks from simulation to the real world

Wojciech Zaremba, Pieter Abbeel, Jonas Schneider, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Probabilistically safe policy transfer

Pieter Abbeel, David Held, Michael Zhang, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

GACEM: Generalized Autoregressive Cross Entropy Method for Multi-Modal Black Box Constraint Satisfaction pdf

Pieter Abbeel, Vladimir Stojanovic, Keertana Settaluri, 2020, ArXiv.

Bringing clothing into desired configurations with limited perception

James F. O'Brien, Pieter Abbeel, Stephen Miller, 2011, 2011 IEEE International Conference on Robotics and Automation.

Learning from multiple demonstrations using trajectory-aware non-rigid registration with applications to deformable object manipulation

Sergey Levine, Pieter Abbeel, Abhishek Gupta, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Discriminative Probabilistic Models for Relational Data pdf

Ben Taskar, Pieter Abbeel, Daphne Koller, 2002, UAI.

Sequential quadratic programming for task plan optimization

Dylan Hadfield-Menell, Pieter Abbeel, Stuart J. Russell, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Learning Plannable Representations with Causal InfoGAN

Pieter Abbeel, Stuart J. Russell, Aviv Tamar, 2018, NeurIPS.

Hierarchically Decoupled Morphological Transfer

Pieter Abbeel, Lerrel Pinto, Donald J. Hejna, 2020, ICML 2020.

LQG-Based Planning, Sensing, and Control of Steerable Needles

Pieter Abbeel, Kenneth Y. Goldberg, Ron Alterovitz, 2010, WAFR.

Image Object Label 3 D CAD Model Candidate Grasps Google Object Recognition Engine Google Cloud Storage Select Feasible Grasp with Highest Success Probability Pose EstimationCamera Robots Cloud 3 D Sensor

Pieter Abbeel, Kenneth Y. Goldberg, Sachin Patil, 2014 .

Enabling robots to communicate their objectives pdf

Anca D. Dragan, Sandy H. Huang, Pieter Abbeel, 2017, Autonomous Robots.

Max-margin classification of incomplete data

Pieter Abbeel, Gal Chechik, Daphne Koller, 2006, NIPS.

Equivalence Between Policy Gradients and Soft Q-Learning pdf

Pieter Abbeel, Xi Chen, John Schulman, 2017, ArXiv.

Unsupervised Surgical Task Segmentation with Milestone Learning

Gregory D. Hager, Ken Goldberg, Pieter Abbeel, 2015 .

Meta-Learning with Temporal Convolutions pdf

Pieter Abbeel, Xi Chen, Nikhil Mishra, 2017, ArXiv.

DoorGym: A Scalable Door Opening Environment And Baseline Agent pdf

Pieter Abbeel, Luca Rigazio, Alec Hodgkinson, 2019, ArXiv.

Understanding Slip Perception of Soft Fingertips by Modeling and Simulating Stick-Slip Phenomenon

Nicholas Roy, Pieter Abbeel, Hugh Durrant-Whyte, 2012 .

Safer Classification by Synthesis pdf

Pieter Abbeel, Xi Chen, William Wang, 2017, ArXiv.

A Simple Neural Attentive Meta-Learner

Pieter Abbeel, Xi Chen, Nikhil Mishra, 2017, ICLR.

Planning locally optimal, curvature-constrained trajectories in 3D using sequential convex optimization

Pieter Abbeel, Kenneth Y. Goldberg, Sachin Patil, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

The Path Inference Filter: Model-Based Low-Latency Map Matching of Probe Vehicle Data

Alexandre M. Bayen, Pieter Abbeel, Timothy Hunter, 2011, IEEE transactions on intelligent transportation systems (Print).

Grasping and Fixturing as Submodular Coverage Problems

Pieter Abbeel, Kenneth Y. Goldberg, John D. Schulman, 2011, ISRR.

Transition state clustering: Unsupervised surgical trajectory segmentation for robot learning

Gregory D. Hager, Pieter Abbeel, Sanjay Krishnan, 2017, ISRR.

A geometric approach to robotic laundry folding

Trevor Darrell, Mario Fritz, Pieter Abbeel, 2012, Int. J. Robotics Res..

Interpretable and Pedagogical Examples pdf

Pieter Abbeel, Igor Mordatch, Smitha Milli, 2017, ArXiv.

Real-Time Prioritized Kinematic Control under Inequality Constraints for Redundant Manipulators

Nicholas Roy, Hugh Durrant-Whyte, Pieter Abbeel, 2012 .

Hierarchically Decoupled Imitation for Morphological Transfer pdf

Pieter Abbeel, Lerrel Pinto, Donald J. Hejna, 2020, ICML.

Reinforcement Learning on Variable Impedance Controller for High-Precision Robotic Assembly

Alice M. Agogino, Pieter Abbeel, Eugen Solowjow, 2019, 2019 International Conference on Robotics and Automation (ICRA).

Deep Learning to Learn

Pieter Abbeel, 2018 .

SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning pdf

Pieter Abbeel, Kimin Lee, Michael Laskin, 2020, ICML.

AvE: Assistance via Empowerment pdf

Daniel Polani, Pieter Abbeel, Stas Tiomkin, 2020, NeurIPS.

Responsive Safety in Reinforcement Learning by PID Lagrangian Methods pdf

Pieter Abbeel, Adam Stooke, Joshua Achiam, 2020, ICML.

Emergence of Grounded Compositional Language in Multi-Agent Populations pdf

Pieter Abbeel, Igor Mordatch, P. Abbeel, 2017, AAAI.

Trust Region Policy Optimization pdf

Sergey Levine, Michael I. Jordan, Pieter Abbeel, 2015, ICML.

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Sergey Levine, Pieter Abbeel, Aurick Zhou, 2018, ICML.

Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation pdf

Sergey Levine, Pieter Abbeel, Gregory Kahn, 2018, CoRL.

A K-fold Method for Baseline Estimation in Policy Gradient Algorithms pdf

Pieter Abbeel, Xi Chen, Abhishek Mishra, 2017, ArXiv.

End-to-End Training of Deep Visuomotor Policies pdf

Sergey Levine, Trevor Darrell, Pieter Abbeel, 2015, J. Mach. Learn. Res..

Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models pdf

Sergey Levine, Pieter Abbeel, Bradly C. Stadie, 2015, ArXiv.

Modular task and motion planning in belief space

Dylan Hadfield-Menell, Pieter Abbeel, Rohan Chitnis, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

An algorithm for computing customized 3D printed implants with curvature constrained channels for enhancing intracavitary brachytherapy radiation delivery

J. Adam M. Cunha, Pieter Abbeel, Kenneth Y. Goldberg, 2013, 2013 IEEE International Conference on Automation Science and Engineering (CASE).

Backprop KF: Learning Discriminative Deterministic State Estimators

Sergey Levine, Anurag Ajay, Pieter Abbeel, 2016, NIPS.

Learning to Adapt: Meta-Learning for Model-Based Control pdf

Sergey Levine, Ronald S. Fearing, Pieter Abbeel, 2018, ArXiv.

Cross-Entropy Randomized Motion Planning

Nicholas Roy, Pieter Abbeel, Hugh Durrant-Whyte, 2012 .

Planning to Explore via Self-Supervised World Models pdf

Pieter Abbeel, Deepak Pathak, Kostas Daniilidis, 2020, ICML.

Coupled Dynamical System Based Hand-Arm Grasp Planning under Real-Time Perturbations

Nicholas Roy, Pieter Abbeel, Hugh Durrant-Whyte, 2012 .

Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow pdf

Sergey Levine, Pieter Abbeel, Angjoo Kanazawa, 2018, ICLR.

Learning Efficient Representation for Intrinsic Motivation pdf

Pieter Abbeel, Stas Tiomkin, Ruihan Zhao, 2019, ArXiv.

Asymmetric Actor Critic for Image-Based Robot Learning pdf

Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel, 2017, Robotics: Science and Systems.

Imitation Learning of Hierarchical Programs via Variational Inference

Dawn Song, Ion Stoica, Ken Goldberg, 2018, ICML 2018.

Learning by observation for surgical subtasks: Multilateral cutting of 3D viscoelastic and 2D Orthotropic Tissue Phantoms

Pieter Abbeel, Kenneth Y. Goldberg, Sachin Patil, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Adapting Deep Visuomotor Representations with Weak Pairwise Constraints

Sergey Levine, Trevor Darrell, Kate Saenko, 2015, WAFR.

Efficient L1 Regularized Logistic Regression

Honglak Lee, Pieter Abbeel, Andrew Y. Ng, 2006, AAAI.

Learning from the hindsight plan — Episodic MPC improvement

Sergey Levine, Pieter Abbeel, Tianhao Zhang, 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Perception for the manipulation of socks

Trevor Darrell, Mario Fritz, Pieter Abbeel, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Likelihood Contribution based Multi-scale Architecture for Generative Flows

Costas J. Spanos, Pieter Abbeel, Hari Prasanna Das, 2019 .

Fast Trajectory Correction for Nonholonomic Mobile Robots Using Affine Transformations

Nicholas Roy, Pieter Abbeel, Hugh Durrant-Whyte, 2012 .

Deep spatial autoencoders for visuomotor learning

Sergey Levine, Trevor Darrell, Pieter Abbeel, 2015, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Large Scale Estimation in Cyberphysical Systems using Streaming Data: a Case Study with Smartphone Traces pdf

Alexandre M. Bayen, Pieter Abbeel, Matei Zaharia, 2012, ArXiv.

A Linear Approximation for Graph-Based Simultaneous Localization and Mapping

Nicholas Roy, Pieter Abbeel, Hugh Durrant-Whyte, 2012 .

Synkhronos: a Multi-GPU Theano Extension for Data Parallelism pdf

Pieter Abbeel, Adam Stooke, 2017, ArXiv.

Sub-policy Adaptation for Hierarchical Reinforcement Learning pdf

Pieter Abbeel, Ignasi Clavera, Carlos Florensa, 2019, ICLR.

UCB and InfoGain Exploration via $\boldsymbol{Q}$-Ensembles pdf

Pieter Abbeel, John Schulman, Szymon Sidor, 2017, ArXiv.

An Application of Reinforcement Learning to Aerobatic Helicopter Flight

Pieter Abbeel, Andrew Y. Ng, Morgan Quigley, 2006, NIPS.

Exploiting Variable Stiffness in Explosive Movement Tasks

Nicholas Roy, Hugh Durrant-Whyte, Pieter Abbeel, 2012 .

Max-margin Classification of Data with Absent Features

Pieter Abbeel, Gal Chechik, Daphne Koller, 2008, J. Mach. Learn. Res..

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

Pieter Abbeel, Xi Chen, Ilya Sutskever, 2016, NIPS.

Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning pdf

Pieter Abbeel, Kimin Lee, Stas Tiomkin, 2020, ArXiv.

Gaussian belief space planning with discontinuities in sensing domains

Pieter Abbeel, Kenneth Y. Goldberg, Sachin Patil, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Stochastic Neural Networks for Hierarchical Reinforcement Learning pdf

Pieter Abbeel, Yan Duan, Carlos Florensa, 2016, ICLR.

Learning from Demonstrations Through the Use of Non-rigid Registration

Pieter Abbeel, John Schulman, Jonathan Ho, 2013, ISRR.

Comparing Heads-Up, Hands-Free Operation of Ground Robots to Teleoperation

Nicholas Roy, Hugh Durrant-Whyte, Pieter Abbeel, 2012 .

Automatic Curriculum Learning through Value Disagreement pdf

Pieter Abbeel, Lerrel Pinto, Yunzhi Zhang, 2020, NeurIPS.

Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules pdf

Ion Stoica, Pieter Abbeel, Xi Chen, 2019, ICML.

A Constraint-Aware Motion Planning Algorithm for Robotic Folding of Clothes

Dmitry Berenson, Pieter Abbeel, Kenneth Y. Goldberg, 2012, ISER.

Multi-armed bandit models for 2D grasp planning with uncertainty

Danica Kragic, Pieter Abbeel, Michael Laskey, 2015, 2015 IEEE International Conference on Automation Science and Engineering (CASE).

Constrained Policy Optimization

Pieter Abbeel, David Held, Aviv Tamar, 2017, ICML.

CURL: Contrastive Unsupervised Representations for Reinforcement Learning

Pieter Abbeel, Michael Laskin, Aravind Srinivas, 2020, ICML.

Latent Space Policies for Hierarchical Reinforcement Learning

Sergey Levine, Pieter Abbeel, Tuomas Haarnoja, 2018, ICML.

Finite-Time Regional Verification of Stochastic Nonlinear Systems

Nicholas Roy, Pieter Abbeel, Hugh Durrant-Whyte, 2012 .

BagNet: Berkeley Analog Generator with Layout Optimizer Boosted with Deep Neural Networks

Vladimir Stojanovic, Pieter Abbeel, Kourosh Hakhamaneshi, 2019, 2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

Visual Imitation Made Easy pdf

Pieter Abbeel, Abhinav Gupta, Shubham Tulsiani, 2020, CoRL.

Stochastic Adversarial Video Prediction pdf

Sergey Levine, Pieter Abbeel, Chelsea Finn, 2018, ArXiv.

Portable GPS Baseband Logging

Pieter Abbeel, Andrew Y. Ng, Morgan Quigley, 2007 .

Designing Petri Net Supervisors from LTL Specifications

Nicholas Roy, Hugh Durrant-Whyte, Pieter Abbeel, 2012 .

Dynamical System Embedding for Efficient Intrinsically Motivated Artificial Agents

Pieter Abbeel, Stas Tiomkin, Ruihan Zhao, 2019 .

Deep Object-Centric Representations for Generalizable Robot Learning

Sergey Levine, Trevor Darrell, Pieter Abbeel, 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Optimization-based Cooperative Multi-Robot Target Tracking with Reasoning about Occlusions

Gaurav S. Sukhatme, Karol Hausman, Ken Goldberg, 2015 .

High-Dimensional Continuous Control Using Generalized Advantage Estimation pdf

Sergey Levine, Michael I. Jordan, Pieter Abbeel, 2015, ICLR.

Parallel Training of Deep Networks with Local Updates pdf

Jascha Sohl-Dickstein, Pieter Abbeel, Mark Saroufim, 2020, ArXiv.

MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies

Sergey Levine, Pieter Abbeel, Xue Bin Peng, 2019, NeurIPS.

DeepMimic

Sergey Levine, Pieter Abbeel, Michiel van de Panne, 2018, ACM Trans. Graph..

Model-based reinforcement learning with parametrized physical models and optimism-driven exploration

Sergey Levine, Pieter Abbeel, Sachin Patil, 2015, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Automatic Calibration of Multiple Coplanar Sensors

Nicholas Roy, Hugh Durrant-Whyte, Pieter Abbeel, 2012 .

Predicting initialization effectiveness for trajectory optimization

Pieter Abbeel, Jia Pan, Zhuo Chen, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Learning Predictive Representations for Deformable Objects Using Contrastive Estimation pdf

Pieter Abbeel, Lerrel Pinto, Wilson Yan, 2020, CoRL.

ProMP: Proximal Meta-Policy Search pdf

Tamim Asfour, Pieter Abbeel, Dennis Lee, 2018, ICLR.

Modeling and perception of deformable one-dimensional objects

James F. O'Brien, Pieter Abbeel, Jie Tang, 2011, 2011 IEEE International Conference on Robotics and Automation.

Sim-to-Real Transfer of Robotic Control with Dynamics Randomization

Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel, 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).

SOLAR: Deep Structured Latent Representations for Model-Based Reinforcement Learning pdf

Sergey Levine, Pieter Abbeel, Matthew J. Johnson, 2018, ArXiv.

Apprenticeship Learning for Robotic Control

Pieter Abbeel, 2015 .

Variational Lossy Autoencoder pdf

Pieter Abbeel, Xi Chen, Tim Salimans, 2016, ICLR.

Third-Person Imitation Learning pdf

Pieter Abbeel, Ilya Sutskever, Bradly C. Stadie, 2017, ICLR.

Compositional Plan Vectors

Sergey Levine, Trevor Darrell, Pieter Abbeel, 2019, NeurIPS.

A single-use haptic palpation probe for locating subcutaneous blood vessels in robot-assisted minimally invasive surgery

Allison M. Okamura, Pieter Abbeel, Kenneth Y. Goldberg, 2015, 2015 IEEE International Conference on Automation Science and Engineering (CASE).

Bayes Net

Dan Klein, Sergey Levine, Pieter Abbeel, 2017, Encyclopedia of Machine Learning and Data Mining.

Towards Characterizing Divergence in Deep Q-Learning pdf

Pieter Abbeel, Joshua Achiam, Ethan Knight, 2019, ArXiv.

Operational Space Control of Constrained and Underactuated Systems

Nicholas Roy, Hugh Durrant-Whyte, Pieter Abbeel, 2012 .

A Berkeley View of Systems Challenges for AI pdf

Randy H. Katz, Dawn Xiaodong Song, Michael I. Jordan, 2017, ArXiv.

Controlling Wild Bodies Using Linear Temporal Logic

Nicholas Roy, Hugh Durrant-Whyte, Pieter Abbeel, 2012 .

Benchmarking Deep Reinforcement Learning for Continuous Control

Pieter Abbeel, Xi Chen, John Schulman, 2016, ICML.

Learning Robotic Manipulation through Visual Planning and Acting pdf

Pieter Abbeel, Aviv Tamar, Angelina Wang, 2019, Robotics: Science and Systems.

Distributed Robot Ensemble Control for Deployment to Multiple Sites

Nicholas Roy, Hugh Durrant-Whyte, Pieter Abbeel, 2012 .

Friendly Patrolling: A Model of Natural Encounters

Nicholas Roy, Pieter Abbeel, Hugh Durrant-Whyte, 2012 .

Probabilistic Analysis of Correctness of High-Level Robot Behavior with Sensor Error

Nicholas Roy, Hugh Durrant-Whyte, Pieter Abbeel, 2012 .

Learning Generalized Reactive Policies using Deep Neural Networks pdf

Pieter Abbeel, Aviv Tamar, Siddharth Srivastava, 2017, ICAPS.

A Framework for Efficient Robotic Manipulation pdf

Pieter Abbeel, Lerrel Pinto, Michael Laskin, 2020, ArXiv.

Unmanned Aircraft Collision Avoidance Using Continuous-State POMDPs

Nicholas Roy, Hugh Durrant-Whyte, Pieter Abbeel, 2012 .

Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks pdf

Filip De Turck, Pieter Abbeel, Xi Chen, 2016, ArXiv.

Autonomous multilateral debridement with the Raven surgical robot

Pieter Abbeel, Kenneth Y. Goldberg, Sachin Patil, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Parameterized maneuver learning for autonomous helicopter flight

Pieter Abbeel, Jie Tang, Arjun Singh, 2010, 2010 IEEE International Conference on Robotics and Automation.

Composable Deep Reinforcement Learning for Robotic Manipulation

Sergey Levine, Pieter Abbeel, Aurick Zhou, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Parametrized shape models for clothing

Trevor Darrell, Mario Fritz, Pieter Abbeel, 2011, 2011 IEEE International Conference on Robotics and Automation.

Large-Scale Estimation in Cyberphysical Systems Using Streaming Data: A Case Study With Arterial Traffic Estimation

Alexandre M. Bayen, Pieter Abbeel, Matei Zaharia, 2013, IEEE Transactions on Automation Science and Engineering.

Range sensor and silhouette fusion for high-quality 3D Scanning

Pieter Abbeel, Arjun Singh, Karthik S. Narayan, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Dimensionality Reduction Flows pdf

Costas J. Spanos, Pieter Abbeel, Hari Prasanna Das, 2019, ArXiv.

Reset-Free Lifelong Learning with Skill-Space Planning pdf

Pieter Abbeel, Igor Mordatch, Aditya Grover, 2020, ArXiv.

Natural Image Manipulation for Autoregressive Models Using Fisher Scores pdf

Pieter Abbeel, Jonathan Ho, Wilson Yan, 2019, ArXiv.

Meta-Reinforcement Learning of Structured Exploration Strategies

Sergey Levine, Pieter Abbeel, Abhishek Gupta, 2018, NeurIPS.

Gradescope: A Fast, Flexible, and Fair System for Scalable Assessment of Handwritten Work

Pieter Abbeel, Arjun Singh, Sergey Karayev, 2017, L@S.

An Open Source AGPS/DGPS Capable C-coded Software Receiver

Pieter Abbeel, Morgan Quigley, S. Gleason, 2009 .

Hindsight Experience Replay

Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel, 2017, NIPS.

Unifying scene registration and trajectory optimization for learning from demonstrations with application to manipulation of deformable objects

Dylan Hadfield-Menell, Sandy H. Huang, Pieter Abbeel, 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Learning Robotic Assembly from CAD

Pieter Abbeel, Aviv Tamar, Garrett Thomas, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Autonomous Helicopter Flight Using Reinforcement Learning

Pieter Abbeel, Andrew Y. Ng, Adam Coates, 2010, Encyclopedia of Machine Learning.

Geometry-Aware Neural Rendering

Pieter Abbeel, Josh Tobin, OpenAI, 2019, NeurIPS.

Combined task and motion planning through an extensible planner-independent interface layer

Pieter Abbeel, Stuart J. Russell, Lorenzo Riano, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Learning deep control policies for autonomous aerial vehicles with MPC-guided policy search

Sergey Levine, Pieter Abbeel, Tianhao Zhang, 2015, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Plan2Vec: Unsupervised Representation Learning by Latent Plans pdf

Joelle Pineau, Pieter Abbeel, Ge Yang, 2020, L4DC.

Learning to Poke by Poking: Experiential Learning of Intuitive Physics pdf

Jitendra Malik, Sergey Levine, Pieter Abbeel, 2016, NIPS.

Load Balancing for Mobility-on-Demand Systems

Nicholas Roy, Pieter Abbeel, Hugh Durrant-Whyte, 2012 .

Approximate Dynamic Programming

Geoffrey I. Webb, Stephen Grossberg, Mauro Birattari, 2011 .

One-Shot Imitation Learning

Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel, 2017, NIPS.

Apprenticeship learning for motion planning with application to parking lot navigation

Sebastian Thrun, Pieter Abbeel, Andrew Y. Ng, 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

EG-RRT: Environment-guided random trees for kinodynamic motion planning with uncertainty and obstacles

Pieter Abbeel, Kenneth Y. Goldberg, Jur P. van den Berg, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation

Sergey Levine, Pieter Abbeel, Abhishek Gupta, 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).

CURL: Contrastive Unsupervised Representation Learning for Reinforcement Learning

Pieter Abbeel, Aravind Srinivas, Michael Laskin, 2020, ICML 2020.

Tracking deformable objects with point clouds

Pieter Abbeel, John Schulman, Alex X. Lee, 2013, 2013 IEEE International Conference on Robotics and Automation.

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Sergey Levine, Pieter Abbeel, Chelsea Finn, 2017, ICML.

Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning pdf

Sergey Levine, Pieter Abbeel, Abhishek Gupta, 2017, ICLR.

#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning

Filip De Turck, Pieter Abbeel, Xi Chen, 2016, NIPS.

Motion planning and control of robotic manipulators on seaborne platforms

Jan Tommy Gravdahl, Pål Johan From, Pieter Abbeel, 2011 .

Planning Curvature and Torsion Constrained Ribbons in 3D With Application to Intracavitary Brachytherapy

Pieter Abbeel, Kenneth Y. Goldberg, Sachin Patil, 2015, IEEE Transactions on Automation Science and Engineering.

Adaptive Control Processes

Sanjoy Dasgupta, Hannu Toivonen, Pieter Abbeel, 2010, Encyclopedia of Machine Learning and Data Mining.

Model-Based Proprioceptive State Estimation for Spring-Mass Running

Nicholas Roy, Pieter Abbeel, Hugh Durrant-Whyte, 2012 .

The YCB object and Model set: Towards common benchmarks for manipulation research

Siddhartha S. Srinivasa, Pieter Abbeel, Aaron M. Dollar, 2015, 2015 International Conference on Advanced Robotics (ICAR).

Combining self-supervised learning and imitation for vision-based rope manipulation

Jitendra Malik, Sergey Levine, Pieter Abbeel, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

A Framework for Push-Grasping in Clutter

Nicholas Roy, Hugh Durrant-Whyte, Pieter Abbeel, 2012 .

SFV

Jitendra Malik, Sergey Levine, Pieter Abbeel, 2018, ACM Trans. Graph..

A case study of trajectory transfer through non-rigid registration for a simplified suturing scenario

Ankush Gupta, Pieter Abbeel, John Schulman, 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

An Analytic Motion Planning Solution for the Snakeboard

Nicholas Roy, Pieter Abbeel, Hugh Durrant-Whyte, 2012 .

Inverse Reward Design

Anca D. Dragan, Dylan Hadfield-Menell, Pieter Abbeel, 2017, NIPS.

Automatic Goal Generation for Reinforcement Learning Agents pdf

Pieter Abbeel, David Held, Xinyang Geng, 2017, ICML.

PLATO: Policy learning using adaptive trajectory optimization

Sergey Levine, Pieter Abbeel, Tianhao Zhang, 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Chapter 5.2 – A Geometric Approach to Robotic Laundry Folding1

Trevor Darrell, Mario Fritz, Ken Goldberg, 2015 .

Using Mobile Phones to Forecast Arterial Traffic through Statistical Learning

Alexandre M. Bayen, Saurabh Amin, Pieter Abbeel, 2010 .

Global Motion Planning under Uncertain Motion, Sensing, and Environment Map

Nicholas Roy, Pieter Abbeel, Hugh Durrant-Whyte, 2012 .

Quasi-Direct Drive for Low-Cost Compliant Robotic Manipulation

Pieter Abbeel, Anthony Sinclair, Stephen McKinley, 2019, 2019 International Conference on Robotics and Automation (ICRA).

Variable Skipping for Autoregressive Range Density Estimation pdf

Pieter Abbeel, Xi Chen, Eric Liang, 2020, ICML.

Learning with Opponent-Learning Awareness pdf

Shimon Whiteson, Pieter Abbeel, Jakob N. Foerster, 2017, AAMAS.

GP-GPIS-OPT: Grasp planning with shape uncertainty using Gaussian process implicit surfaces and Sequential Convex Programming

Matei T. Ciocarlie, Pieter Abbeel, Kenneth Y. Goldberg, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

An Algorithmic Perspective on Imitation Learning

Pieter Abbeel, Jan Peters, J. Andrew Bagnell, 2018, Found. Trends Robotics.

Robotics: Science and Systems VIII

Hugh Durrant-Whyte, Pieter Abbeel, Nicholas Roy, 2012, RSS 2012.

On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference pdf

Anca D. Dragan, Pieter Abbeel, Rohin Shah, 2019, ICML.

Domain Randomization and Generative Models for Robotic Grasping

Wojciech Zaremba, Pieter Abbeel, Joshua Tobin, 2017, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Learning modular neural network policies for multi-task and multi-robot transfer

Sergey Levine, Trevor Darrell, Pieter Abbeel, 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Learning to Adapt in Dynamic, Real-World Environments through Meta-Reinforcement Learning

Sergey Levine, Pieter Abbeel, Chelsea Finn, 2018, ICLR.

Transition State Clustering: Unsupervised Surgical Trajectory Segmentation for Robot Learning

Gregory D. Hager, Pieter Abbeel, Sanjay Krishnan, 2017, ISRR.

Late Breaking Results: Analog Circuit Generator based on Deep Neural Network enhanced Combinatorial optimization

Vladimir Stojanovic, Pieter Abbeel, Kourosh Hakhamaneshi, 2019, 2019 56th ACM/IEEE Design Automation Conference (DAC).

Combining model-based policy search with online model learning for control of physical humanoids

Pieter Abbeel, Clemens Eppner, Igor Mordatch, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Prediction and Control with Temporal Segment Models

Pieter Abbeel, Igor Mordatch, Nikhil Mishra, 2017, ICML.

Benchmarking in Manipulation Research: Using the Yale-CMU-Berkeley Object and Model Set

Siddhartha S. Srinivasa, Pieter Abbeel, Aaron M. Dollar, 2015, IEEE Robotics & Automation Magazine.

BADGR: An Autonomous Self-Supervised Learning-Based Navigation System pdf

Pieter Abbeel, Sergey Levine, Gregory Kahn, 2020, ArXiv.

Generalizing Skills with Semi-Supervised Reinforcement Learning pdf

Sergey Levine, Pieter Abbeel, Chelsea Finn, 2016, ICLR.

rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch pdf

Pieter Abbeel, Adam Stooke, P. Abbeel, 2019, ArXiv.

Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model pdf

Sergey Levine, Pieter Abbeel, Alex X. Lee, 2019, NeurIPS.

Some Considerations on Learning to Explore via Meta-Reinforcement Learning pdf

Pieter Abbeel, Xi Chen, Ilya Sutskever, 2018, ICLR 2018.

Learning first-order Markov models for control

Pieter Abbeel, Andrew Y. Ng, A. Ng, 2004, NIPS.

LQG-MP: Optimized path planning for robots with motion uncertainty and imperfect state information

Pieter Abbeel, Kenneth Y. Goldberg, Jur P. van den Berg, 2010, Int. J. Robotics Res..

AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos pdf

Pieter Abbeel, Marvin Zhang, Sergey Levine, 2019, Robotics: Science and Systems.

Learning Factor Graphs in Polynomial Time and Sample Complexity

Pieter Abbeel, Andrew Y. Ng, Daphne Koller, 2006, J. Mach. Learn. Res..

Optimism-driven exploration for nonlinear systems

Sergey Levine, Michael I. Jordan, Pieter Abbeel, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Planning Curvature and Torsion Constrained Ribbons in 3D With Application to Intracavitary Brachytherapy

Pieter Abbeel, Kenneth Y. Goldberg, Sachin Patil, 2015, IEEE Transactions on Automation Science and Engineering.

Leveraging appearance priors in non-rigid registration, with application to manipulation of deformable objects

Sandy H. Huang, Pieter Abbeel, George Mulcaire, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Evaluating Protein Transfer Learning with TAPE

John Canny, Pieter Abbeel, Xi Chen, 2019, bioRxiv.

Contrastive Code Representation Learning pdf

Joseph E. Gonzalez, Pieter Abbeel, Paras Jain, 2020, EMNLP.

Inverse Resolution

Pierre Flener, Eamonn J. Keogh, Ricardo Vilalta, 2010, Encyclopedia of Machine Learning and Data Mining.

Gradient Estimation Using Stochastic Computation Graphs

Pieter Abbeel, Nicolas Heess, John Schulman, 2015, NIPS.

Preventing Imitation Learning with Adversarial Policy Ensembles pdf

Pieter Abbeel, Stas Tiomkin, Albert Zhan, 2020, ArXiv.

Optimization-Based Artifact Correction for Electron Microscopy Image Stacks

Pieter Abbeel, Jeremy Maitin-Shepard, Samaneh Azadi, 2014, ECCV.

Tractability of Planning with Loops

Pieter Abbeel, Abhishek Gupta, Shlomo Zilberstein, 2015, AAAI.

Predictive Coding for Boosting Deep Reinforcement Learning with Sparse Rewards pdf

Pieter Abbeel, Stas Tiomkin, Xingyu Lu, 2019, ArXiv.

Hierarchical Variational Imitation Learning of Control Programs pdf

Dawn Song, Ion Stoica, Ken Goldberg, 2019, ArXiv.

Addressing Sample Complexity in Visual Tasks Using HER and Hallucinatory GANs

Pieter Abbeel, Ilya Kuzovkin, Himanshu Sahni, 2019, NeurIPS.

Link Prediction in Relational Data

Ben Taskar, Pieter Abbeel, Daphne Koller, 2003, NIPS.

Cooperative Inverse Reinforcement Learning

Anca D. Dragan, Dylan Hadfield-Menell, Pieter Abbeel, 2016, NIPS.

An Interaction Design Framework for Social Robots

Nicholas Roy, Hugh Durrant-Whyte, Pieter Abbeel, 2012 .

Adversarial Attacks on Neural Network Policies pdf

Sandy H. Huang, Pieter Abbeel, Nicolas Papernot, 2017, ICLR.

Active exploration using trajectory optimization for robotic grasping in the presence of occlusions

Pieter Abbeel, Julian Ryde, Kenneth Y. Goldberg, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

A robot path planning framework that learns from experience

Dmitry Berenson, Pieter Abbeel, Kenneth Y. Goldberg, 2012, 2012 IEEE International Conference on Robotics and Automation.

Model-Augmented Actor-Critic: Backpropagating through Paths pdf

Pieter Abbeel, Yao Fu, Ignasi Clavera, 2020, ICLR.

Goal-conditioned Imitation Learning

Pieter Abbeel, Yiming Ding, Mariano Phielipp, 2019, NeurIPS.

This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 1 Learning the Dynamics of Arterial Traffic From Probe

Alexandre M. Bayen, Pieter Abbeel, Aude Hofleitner, 2022 .

PixelSNAIL: An Improved Autoregressive Generative Model pdf

Pieter Abbeel, Xi Chen, Nikhil Mishra, 2017, ICML.

A Serial Approach to Handling High-Dimensional Measurements in the Sigma-Point Kalman Filter

Nicholas Roy, Hugh Durrant-Whyte, Pieter Abbeel, 2012 .

One-Shot Composition of Vision-Based Skills from Demonstration

Pieter Abbeel, Chelsea Finn, Tianhe Yu, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Addressing Sample Complexity in Visual Tasks Using Hindsight Experience Replay and Hallucinatory GANs

Pieter Abbeel, Ilya Kuzovkin, Himanshu Sahni, 2019 .

Apprenticeship learning via inverse reinforcement learning

Pieter Abbeel, Andrew Y. Ng, A. Ng, 2004, ICML.

Learning vehicular dynamics, with application to modeling helicopters

Pieter Abbeel, Andrew Y. Ng, Varun Ganapathi, 2005, NIPS.

Domain Randomization for Active Pose Estimation

Pieter Abbeel, Abhishek Gupta, Eugen Solowjow, 2019, 2019 International Conference on Robotics and Automation (ICRA).

Autonomous Autorotation of an RC Helicopter

Pieter Abbeel, Andrew Y. Ng, Adam Coates, 2008, ISER.

Time Complexity of Sensor-Based Vehicle Routing

Sebastian Thrun, Pieter Abbeel, Andrew Y. Ng, 2005 .

Geometric Programming for Aircraft Design Optimization

Pieter Abbeel, Warren Hoburg, P. Abbeel, 2012, AIAA Journal.

Occlusion-aware multi-robot 3D tracking

Gaurav S. Sukhatme, Karol Hausman, Pieter Abbeel, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Locally Masked Convolution for Autoregressive Models

Pieter Abbeel, Deepak Pathak, Ajay Jain, 2020, UAI.

Combinatorial Energy Learning for Image Segmentation

Pieter Abbeel, Peter Li, Viren Jain, 2015, NIPS.

Hybrid Discriminative-Generative Training via Contrastive Learning pdf

Hao Liu, Pieter Abbeel, P. Abbeel, 2020, ArXiv.

From Caging to Grasping

Nicholas Roy, Pieter Abbeel, Hugh Durrant-Whyte, 2012 .

Guided Meta-Policy Search

Sergey Levine, Pieter Abbeel, Abhishek Gupta, 2019, NeurIPS.

Visual Segmentation of “Simple” Objects for Robots

Nicholas Roy, Hugh Durrant-Whyte, Pieter Abbeel, 2012 .

Count-Based Temperature Scheduling for Maximum Entropy Reinforcement Learning

Pieter Abbeel, Roy Fox, Dailin Hu, 2021 .

Reset-Free Lifelong Learning with Skill-Space Planning pdf

Pieter Abbeel, Igor Mordatch, Kevin Lu, 2020, ICLR.

Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings pdf

Pieter Abbeel, Kimin Lee, Aravind Srinivas, 2021, NeurIPS.

Learning What To Do by Simulating the Past pdf

Pieter Abbeel, Rohin Shah, Anca Dragan, 2021, ICLR.

Hierarchical Few-Shot Imitation with Skill Transition Models pdf

Pieter Abbeel, Ruihan Zhao, Kourosh Hakhamaneshi, 2021, ArXiv.

MSA Transformer

John F. Canny, Pieter Abbeel, Tom Sercu, 2021, bioRxiv.

Auto-Tuned Sim-to-Real Transfer

Trevor Darrell, Pieter Abbeel, Deepak Pathak, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Mutual Information State Intrinsic Control pdf

Pieter Abbeel, Wei Xu, Volker Tresp, 2021, ICLR.

APS: Active Pretraining with Successor Features

Pieter Abbeel, Hao Liu, P. Abbeel, 2021, ICML.

Zero-Shot Text-Guided Object Generation with Dream Fields pdf

Jonathan T. Barron, Pieter Abbeel, Ben Poole, 2021, ArXiv.

Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL pdf

Pieter Abbeel, Charles Packer, Joseph E. Gonzalez, 2021, NeurIPS.

AMP: Adversarial Motion Priors for Stylized Physics-Based Character Control

Sergey Levine, Pieter Abbeel, Angjoo Kanazawa, 2021, ACM Trans. Graph..

Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble

Pieter Abbeel, Jinwoo Shin, Seunghyun Lee, 2021, CoRL.

Playful Interactions for Representation Learning pdf

Pieter Abbeel, Lerrel Pinto, Jyothish Pari, 2021, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Scenic4RL: Programmatic Modeling and Generation of Reinforcement Learning Environments pdf

Sanjit A. Seshia, Ion Stoica, Pieter Abbeel, 2021, ArXiv.

Target Entropy Annealing for Discrete Soft Actor-Critic pdf

Pieter Abbeel, Roy Fox, Stephen McAleer, 2021, ArXiv.

Towards More Generalizable One-shot Visual Imitation Learning pdf

Pieter Abbeel, Fangchen Liu, Kimin Lee, 2021, ArXiv.

Decoupling Representation Learning from Reinforcement Learning pdf

Pieter Abbeel, Kimin Lee, Adam Stooke, 2020, ICML.

Unsupervised Learning of Visual 3D Keypoints for Control pdf

Pieter Abbeel, Deepak Pathak, Boyuan Chen, 2021, ICML.

Bottleneck Transformers for Visual Recognition

Pieter Abbeel, Jonathon Shlens, Tsung-Yi Lin, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

The MineRL BASALT Competition on Learning from Human Feedback pdf

Pieter Abbeel, Stuart J. Russell, Rohin Shah, 2021, ArXiv.

Behavior From the Void: Unsupervised Active Pre-Training pdf

Pieter Abbeel, Hao Liu, P. Abbeel, 2021, ArXiv.

Self-Supervised Policy Adaptation during Deployment pdf

Alexei A. Efros, Pieter Abbeel, Xiaolong Wang, 2021, ICLR.

Contrastive Code Representation Learning

Ion Stoica, Joseph E. Gonzalez, Pieter Abbeel, 2021, EMNLP.

Task-Agnostic Morphology Evolution pdf

Pieter Abbeel, Lerrel Pinto, Donald J. Hejna, 2021, ICLR.

Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis pdf

Pieter Abbeel, Matthew Tancik, Ajay Jain, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

JUMBO: Scalable Multi-task Bayesian Optimization using Offline Data pdf

Pieter Abbeel, Kourosh Hakhamaneshi, Aditya Grover, 2021, ArXiv.

VideoGPT: Video Generation using VQ-VAE and Transformers pdf

Pieter Abbeel, Aravind Srinivas, Wilson Yan, 2021, ArXiv.

Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning pdf

Pieter Abbeel, Igor Mordatch, Deepak Pathak, 2021, ArXiv.

Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents pdf

Pieter Abbeel, Igor Mordatch, Deepak Pathak, 2022, ArXiv.

GEM: Group Enhanced Model for Learning Dynamical Control Systems pdf

Pieter Abbeel, Stas Tiomkin, Lerrel Pinto, 2021, ArXiv.

Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots

Koushil Sreenath, Sergey Levine, Pieter Abbeel, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning

Pieter Abbeel, Kimin Lee, Michael Laskin, 2021, ICML.

Addressing Distribution Shift in Online Reinforcement Learning with Offline Datasets

Jinwoo Shin, Pieter Abbeel, Younggyo Seo, 2021 .

PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training pdf

Pieter Abbeel, Laura Smith, Kimin Lee, 2021, ICML.

State Entropy Maximization with Random Encoders for Efficient Exploration

Jinwoo Shin, Honglak Lee, Pieter Abbeel, 2021, ICML.

Temporal-Difference Value Estimation via Uncertainty-Guided Soft Updates pdf

Pieter Abbeel, Roy Fox, Stephen McAleer, 2021, ArXiv.

Decision Transformer: Reinforcement Learning via Sequence Modeling pdf

Pieter Abbeel, Aravind Rajeswaran, Igor Mordatch, 2021, NeurIPS.

Efficient Empowerment Estimation for Unsupervised Stabilization

Pieter Abbeel, Stas Tiomkin, Ruihan Zhao, 2020, ICLR.

Pretrained Transformers as Universal Computation Engines pdf

Pieter Abbeel, Igor Mordatch, Kevin Lu, 2021, ArXiv.

Behavioral Priors and Dynamics Models: Improving Performance and Domain Transfer in Offline RL pdf

Pieter Abbeel, Aravind Rajeswaran, Michael Laskin, 2021, ArXiv.

URLB: Unsupervised Reinforcement Learning Benchmark pdf

Pieter Abbeel, Denis Yarats, Lerrel Pinto, 2021, NeurIPS Datasets and Benchmarks.

B-Pref: Benchmarking Preference-Based Reinforcement Learning pdf

Pieter Abbeel, Laura Smith, Anca Dragan, 2021, NeurIPS Datasets and Benchmarks.

Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback

Pieter Abbeel, Kourosh Hakhamaneshi, Michael Laskin, 2021, CoRL.

Mastering Atari Games with Limited Data pdf

Pieter Abbeel, Thanard Kurutach, Weirui Ye, 2021, NeurIPS.

Leveraging Critical States to Develop Trust

Anca D. Dragan, Sandy H. Huang, Pieter Abbeel, 2017 .

Hierarchically Decoupled Imitation for Morphological Transfer

Pieter Abbeel, Lerrel Pinto, Donald J. Hejna, 2020, ICML.

AvE: Assistance via Empowerment pdf

Daniel Polani, Pieter Abbeel, Stas Tiomkin, 2020, NeurIPS.

Monte Carlo Pose Estimation with Quaternion Kernels and the Bingham Distribution

Nicholas Roy, Pieter Abbeel, Hugh Durrant-Whyte, 2012 .

TERMES: An Autonomous Robotic System for Three- Dimensional Collective Construction

Nicholas Roy, Pieter Abbeel, P. Abbeel, 2011 .

Sparse Graphical Memory for Robust Planning pdf

Pieter Abbeel, Deepak Pathak, Thanard Kurutach, 2020, NeurIPS.

Parallel Training of Deep Networks with Local Updates pdf

Pieter Abbeel, Mark Saroufim, Luke Metz, 2020, ArXiv.

Deciphering the Role of a Coleopteran Steering Muscle via Free Flight Stimulation

Pieter Abbeel, Travis L. Massey, Chao Zhang, 2015, Current Biology.

An Art Gallery Approach to Ensuring That Landmarks Are Distinguishable

Nicholas Roy, Pieter Abbeel, Hugh Durrant-Whyte, 2012 .

Denoising Diffusion Probabilistic Models pdf

Pieter Abbeel, Jonathan Ho, Ajay Jain, 2020, NeurIPS.

The Berkeley 3D Object Dataset

Jitendra Malik, Trevor Darrell, Pieter Abbeel, 2012 .

Fitting geometric programming models to data

Pieter Abbeel, Warren Hoburg, Philippe G. Kirschen, 2015 .

AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos pdf

Sergey Levine, Pieter Abbeel, Marvin Zhang, 2020, Robotics: Science and Systems.

CURL: Contrastive Unsupervised Representations for Reinforcement Learning

Pieter Abbeel, Michael Laskin, Aravind Srinivas, 2020, ICML.

Data fitting with geometric-programming-compatible softmax functions

Pieter Abbeel, Warren Hoburg, Philippe G. Kirschen, 2016 .

Robust Reinforcement Learning using Adversarial Populations pdf

Pieter Abbeel, Yuqing Du, Alexandre Bayen, 2020, ArXiv.

Learning a System-ID Embedding Space for Domain Specialization with Deep Reinforcement Learning

Razvan Pascanu, Peter L. Bartlett, Pieter Abbeel, 2018 .

Sliding Manipulation of Rigid Bodies on a Controlled 6-DoF Plate

Nicholas Roy, Pieter Abbeel, Hugh Durrant-Whyte, 2012 .

Lying Pose Recognition for Elderly Fall Detection

Nicholas Roy, Pieter Abbeel, Hugh Durrant-Whyte, 2012 .