Alan Fern

发表

Explaining Reinforcement Learning to Mere Mortals: An Empirical Study pdf

Andrew Anderson, Jonathan Dodge, Amrita Sadarangani, 2019, IJCAI.

Lower Bounding Klondike Solitaire with Monte-Carlo Planning

Alan Fern, Prasad Tadepalli, Ronald Bjarnason, 2009, ICAPS.

Monte Carlo Tree Search for Scheduling Activity Recognition

Mohamed R. Amer, Alan Fern, Song-Chun Zhu, 2013, 2013 IEEE International Conference on Computer Vision.

Planning in Factored Action Spaces with Symbolic Dynamic Programming

Alan Fern, Prasad Tadepalli, Roni Khardon, 2012, AAAI.

Towards Automatically Setting Language Bias in Relational Learning

Alan Fern, Jose Picado, Arash Termehchy, 2017, DEEM@SIGMOD.

A Decision-Theoretic Model of Assistance

Sriraam Natarajan, Alan Fern, Prasad Tadepalli, 2007, IJCAI.

Active Imitation Learning via Reduction to I.I.D. Active Learning

Thomas G. Dietterich, Alan Fern, Kshitij Judah, 2012, AAAI Fall Symposium: Robots Learning Interactively from Human Teachers.

Partial Planning Reinforcement Learning

Alan Fern, Prasad Tadepalli, 2012 .

A Bayesian Approach for Policy Learning from Trajectory Preference Queries

Alan Fern, Prasad Tadepalli, Aaron Wilson, 2012, NIPS.

Efficiently Constructing Mosaics from Video Collections

Alan Fern, Frank Liu, Robin Hess, 2015, 2015 IEEE Winter Conference on Applications of Computer Vision.

Online Ensemble Learning: An Empirical Study

Robert Givan, Alan Fern, Alan Fern, 2000, Machine Learning.

Learning Task Space Actions for Bipedal Locomotion pdf

Alan Fern, Helei Duan, Jeremy Dao, 2020, ArXiv.

Improving Policy Gradient Estimates with Influence Information

Alan Fern, Martin Erwig, Tim Bauer, 2011, ACML.

Discriminatively trained particle filters for complex multi-object tracking

Alan Fern, Rob Hess, Alan Fern, 2009, CVPR.

Imitation Learning with Demonstrations and Shaping Rewards

Alan Fern, Prasad Tadepalli, Kshitij Judah, 2014, AAAI.

Active Learning of Hierarchical Policies from State-Action Trajectories

Alan Fern, Prasad Tadepalli, Robby Goetschalckx, 2015 .

Learning Heuristic Functions from Relaxed Plans

Robert Givan, Alan Fern, Sung Wook Yoon, 2006, ICAPS.

Learning control knowledge for ai planning domains

Robert Givan, Alan Fern, Sungwook Yoon, 2006 .

Reinforcement Learning for Vulnerability Assessment in Peer-to-Peer Networks

Alan Fern, Thinh Nguyen, Scott Dejmal, 2008, AAAI.

Adaptation-based programming in java

Alan Fern, Martin Erwig, Tim Bauer, 2011, PEPM '11.

Coactive Learning for Locally Optimal Problem Solving

Alan Fern, Prasad Tadepalli, Robby Goetschalckx, 2014, AAAI.

Detecting insider threats in a real corporate database of computer usage activity

Thomas G. Dietterich, Danai Koutra, Christos Faloutsos, 2013, KDD.

Multitask Coactive Learning

Alan Fern, Prasad Tadepalli, Robby Goetschalckx, 2015, IJCAI.

Extending Online Planning for Resource Production in Real-Time Strategy Games with Search

Alan Fern, Soumya Ray, Nick Wilson, 2007 .

Approximate Policy Iteration for Budgeted Semantic Video Segmentation pdf

Alan Fern, Behrooz Mahasseni, Sinisa Todorovic, 2016, ArXiv.

Inferring Strategies from Limited Reconnaissance in Real-time Strategy Games

Thomas G. Dietterich, Alan Fern, Jesse Hostetler, 2012, UAI.

Sample-Based Tree Search with Fixed and Adaptive State Abstractions

Thomas G. Dietterich, Alan Fern, Jesse Hostetler, 2017, J. Artif. Intell. Res..

Robert Givan, Alan Fern, Alan Fern, 2009, Encyclopedia of Biometrics.

Inductive Policy Selection for First-Order MDPs

Robert Givan, Alan Fern, Sung Wook Yoon, 2002, UAI.

Probabilistic Planning via Determinization in Hindsight

Subbarao Kambhampati, Robert Givan, Alan Fern, 2008, AAAI.

Dynamic feature selection for hardware prediction

Babak Falsafi, Robert Givan, Alan Fern, 2006, J. Syst. Archit..

Revisiting Output Coding for Sequential Supervised Learning

Alan Fern, Guohua Hao, 2007, IJCAI.

Active Imitation Learning of Hierarchical Policies

Alan Fern, Prasad Tadepalli, Robby Goetschalckx, 2015, IJCAI.

KI-LEARN: Knowledge-Intensive Learning Methods for Knowledge-Rich/Data-Poor Domains

Thomas G. Dietterich, Alan Fern, Jianqiang Shen, 2006 .

Learning first-order probabilistic models with combining rules

Thomas G. Dietterich, Sriraam Natarajan, Alan Fern, 2005, Annals of Mathematics and Artificial Intelligence.

Memory-Effcient Symbolic Online Planning for Factored MDPs

Alan Fern, Prasad Tadepalli, Roni Khardon, 2015, UAI.

Batch Bayesian Optimization via Simulation Matching

Alan Fern, Xiaoli Z. Fern, Javad Azimi, 2010, NIPS.

Transfer Learning in Sequential Decision Problems: A Hierarchical Bayesian Approach

Alan Fern, Prasad Tadepalli, Aaron Wilson, 2012, ICML Unsupervised and Transfer Learning.

Adaptation-based programming for network protocol design: An 802.11x case study (abstract)

Alan Fern, Thinh P. Nguyen, Jervis Pinto, 2011, 30th IEEE International Performance Computing and Communications Conference.

Output Space Search for Structured Prediction

Alan Fern, Janardhan Rao Doppa, Prasad Tadepalli, 2012, ICML.

Learning Spring Mass Locomotion: Guiding Policies with a Reduced-Order Model pdf

Alan Fern, Ross L. Hatton, Jeremy Dao, 2020, ArXiv.

Hindsight Optimization for Probabilistic Planning with Factored Actions

Alan Fern, Prasad Tadepalli, Roni Khardon, 2015, ICAPS.

Gradient Boosting for Sequence Alignment

Alan Fern, Prasad Tadepalli, Charles Parker, 2006, AAAI.

Open Category Detection with PAC Guarantees pdf

Thomas G. Dietterich, Alan Fern, Si Liu, 2018, ICML.

Multi-object Tracking via Constrained Sequential Labeling

Alan Fern, Sheng Chen, Sinisa Todorovic, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

On Adversarial Policy Switching with Experiments in Real-Time Strategy Games

Alan Fern, Brian King, Jesse Hostetler, 2013, ICAPS.

Learning Probabilistic Behavior Models in Real-Time Strategy Games

Thomas G. Dietterich, Alan Fern, Jesse Hostetler, 2011, AIIDE.

Learning ranking functions for efficient search

Alan Fern, Yuehua Xu, 2010 .

Simulation-based optimization of football defenses

Alan Fern, Daman Oberoi, 2006 .

Learning Domain-Specific Control Knowledge from Random Walks

Robert Givan, Alan Fern, Sung Wook Yoon, 2004, ICAPS.

Sequential Feature Explanations for Anomaly Detection

Thomas G. Dietterich, Weng-Keen Wong, Alan Fern, 2019, ACM Trans. Knowl. Discov. Data.

Representation Independent Analytics Over Structured Data pdf

Yizhou Sun, Alan Fern, Jose Picado, 2014, ArXiv.

HDIP 2011 3rd Workshop on Heuristics for Domain-independent Planning

Patrik Haslum, Alan Fern, Michael Katz, 2011 .

Learning-Based Test Programming for Programmers

Alex Groce, Alan Fern, Martin Erwig, 2012, ISoLA.

Supplementary: Batch Active Learning via Coordinated Matching

Alan Fern, Brent Heeringa, Javad Azimi, 1993 .

Searching Solitaire in Real Time

Alan Fern, Prasad Tadepalli, Ronald Bjarnason, 2007, J. Int. Comput. Games Assoc..

Symbolic Opportunistic Policy Iteration for Factored-Action MDPs

Alan Fern, Prasad Tadepalli, Roni Khardon, 2013, NIPS.

Partial Planning Reinforcement Learning: Final Report

Alan Fern, Prasad Tadepalli, 2012 .

Transfer Learning in Integrated Cognitive Systems

Peter Stone, Alan Fern, Pat Langley, 2010 .

Speedup Learning

Alan Fern, 2010, Encyclopedia of Machine Learning.

Keeping it "organized and logical": after-action review for AI (AAR/AI)

Evan Newman, Alan Fern, Margaret Burnett, 2020, IUI.

Pulp digester level prediction using multiresolution networks of locally active units

Alan Fern, Mohamad Musavi, D. R. Coughlin, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

HC-Search: A Learning Framework for Search-based Structured Prediction

Alan Fern, Janardhan Rao Doppa, Prasad Tadepalli, 2014, J. Artif. Intell. Res..

Budgeted Optimization with Constrained Experiments

Alan Fern, Xiaoli Z. Fern, Javad Azimi, 2016, J. Artif. Intell. Res..

Discovering Anomalies by Incorporating Feedback from an Expert

Weng-Keen Wong, Shubhomoy Das, Alan Fern, 2020, ACM Trans. Knowl. Discov. Data.

Logical scalability and efficiency of relational learning algorithms

Alan Fern, Jose Picado, Arash Termehchy, 2018, The VLDB Journal.

A VLSI circuit for recreating living nerve networks

Alan Fern, S. Wolpert, A. J. Laffely, 1995, Proceedings of the IEEE 21st Annual Northeast Bioengineering Conference.

Dynamic Resource Allocation for Optimizing Population Diffusion

Alan Fern, Daniel Sheldon, Shan Xue, 2014, AISTATS.

Person count localization in videos from noisy foreground and detections

Alan Fern, Sheng Chen, Sinisa Todorovic, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework pdf

Alan Fern, Janardhan Rao Doppa, Syrine Belakaria, 2020, AAAI.

Achieving Quality of Service with Adaptation-based Programming for medium access protocols

Thinh Nguyen, Alan Fern, Jervis Pinto, 2012, 2012 IEEE Global Communications Conference (GLOBECOM).

Q-learning for opportunistic spectrum access

Bechir Hamdaoui, Alan Fern, Omar Alsaleh, 2010, IWCMC.

Relational Markov Decision Processes: Promise and Prospects

Alan Fern, Prasad Tadepalli, Roni Khardon, 2013, StarAI@AAAI.

Specific-to-General Learning for Temporal Events with Application to Learning Event Definitions from Video

Robert Givan, Alan Fern, Jeffrey Mark Siskind, 2002, J. Artif. Intell. Res..

Computational sustainability

Thomas G. Dietterich, Steve Kelling, Warren B. Powell, 2011, AI Mag..

Robust Learning for Adaptive Programs by Leveraging Program Structure

Alan Fern, Martin Erwig, Tim Bauer, 2010, 2010 Ninth International Conference on Machine Learning and Applications.

Iterative Learning of Weighted Rule Sets for Greedy Search

Alan Fern, Yuehua Xu, Sung Wook Yoon, 2010, ICAPS.

A policy switching approach to consolidating load shedding and islanding protection schemes

Alan Fern, Rich Meier, Eduardo Cotilla Sanchez, 2014, 2014 Power Systems Computation Conference.

Dream and Search to Control: Latent Space Planning for Continuous Control pdf

Alan Fern, Somdeb Majumdar, Anurag Koul, 2020, ArXiv.

Incorporating Feedback into Tree-based Anomaly Detection pdf

Thomas G. Dietterich, Weng-Keen Wong, Shubhomoy Das, 2017, ArXiv.

Samuel's Checkers Player

Risto Miikkulainen, Scott Sanner, Kristian Kersting, 2010, Encyclopedia of Machine Learning.

Detecting Cyberattack Entities from Audit Data via Multi-View Anomaly Detection with Feedback

Alan Fern, David W. Archer, William Maxwell, 2018, AAAI Workshops.

Enabling opportunistic and dynamic spectrum access through learning techniques

Bechir Hamdaoui, Alan Fern, Pavithra Venkatraman, 2011, Wirel. Commun. Mob. Comput..

Simulation-based Optimization of Resource Placement and Emergency Response

Alan Fern, Prasad Tadepalli, Ronald Bjarnason, 2009, IAAI.

UCT for Tactical Assault Planning in Real-Time Strategy Games

Alan Fern, Radha-Krishna Balla, Alan Fern, 2009, IJCAI.

Ensemble Monte-Carlo Planning: An Empirical Study

Alan Fern, Paul Lewis, 2011, ICAPS.

State Aggregation in Monte Carlo Tree Search

Thomas G. Dietterich, Alan Fern, Jesse Hostetler, 2014, AAAI.

Autonomous Learning of Action Models for Planning

Alan Fern, Prasad Tadepalli, Neville Mehta, 2011, NIPS.

Learning and transferring roles in multi-agent MDPs

Alan Fern, Prasad Tadepalli, Aaron Wilson, 2008, AAAI 2008.

Learning Linear Ranking Functions for Beam Search with Application to Planning

Alan Fern, Yuehua Xu, Sung Wook Yoon, 2009, J. Mach. Learn. Res..

Batch Active Learning via Coordinated Matching

Glencora Borradaile, Alan Fern, Xiaoli Z. Fern, 2012, ICML.

Mental Models of Mere Mortals with Explanations of Reinforcement Learning

Amrita Sadarangani, Zoe Juozapaitis, Evan Newman, 2020, ACM Trans. Interact. Intell. Syst..

Speedup Learning

Alan Fern, Alan Fern, 2010, Encyclopedia of Machine Learning.

Mixture-of-Parts Pictorial Structures for Objects with Variable Part Sets

Alan Fern, Eric N. Mortensen, Robin Hess, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Journal Track Paper Abstracts

Jörg Hoffmann, Alan Fern, 2015, ICAPS.

AutoMode: Relational Learning with Less Black Magic

Alan Fern, Jose Picado, Arash Termehchy, 2018, 2018 IEEE 34th International Conference on Data Engineering (ICDE).

Reinforcement Learning Via Practice and Critique Advice

Thomas G. Dietterich, Alan Fern, Saikat Roy, 2010, AAAI.

A Meta-Analysis of the Anomaly Detection Problem

Thomas G. Dietterich, Weng-Keen Wong, Shubhomoy Das, 2015 .

Relational sequential inference with reliable observations

Robert Givan, Alan Fern, Alan Fern, 2004, ICML.

Learning first-order probabilistic models with combining rules

Thomas G. Dietterich, Sriraam Natarajan, Alan Fern, 2009, Annals of Mathematics and Artificial Intelligence.

HC-Search: Learning Heuristics and Cost Functions for Structured Prediction

Alan Fern, Janardhan Rao Doppa, Prasad Tadepalli, 2013, AAAI.

Schema Independent Relational Learning

Alan Fern, Jose Picado, Arash Termehchy, 2017, SIGMOD Conference.

An Application of Transfer to American Football: From Observation of Raw Video to Control in a Simulated Environment

Alan Fern, Nan Li, David J. Stracuzzi, 2011, AI Mag..

Learning Partial Policies to Speedup MDP Tree Search

Alan Fern, Jervis Pinto, Alan Fern, 2014, UAI.

Explanations for Dynamic Programming

Alan Fern, Martin Erwig, Prashant Kumar, 2020, PADL.

Adversarial Policy Switching with Application to RTS Games

Alan Fern, Brian King, Jesse Hostetler, 2012, AIIDE 2012.

Hindsight Optimization for Hybrid State and Action MDPs

Scott Sanner, Alan Fern, Prasad Tadepalli, 2017, AAAI.

Toward Embedding Bayesian Optimization in the Lab: Reasoning about Resource and Actions

Alan Fern, Xiaoli Z. Fern, Nima Dolatnia, 2015, AAAI Fall Symposia.

Learning models and formulas of a temporal event logic

Robert Givan, Alan Fern, 2004 .

HC-Search for Multi-Label Prediction: An Empirical Study

Jun Yu, Alan Fern, Chao Ma, 2014, AAAI.

Using Learned Policies in Heuristic-Search Planning

Robert Givan, Alan Fern, Sung Wook Yoon, 2007, IJCAI.

Probabilistic event logic for interval-based event recognition

Alan Fern, William Brendel, Sinisa Todorovic, 2011, CVPR 2011.

Learning Finite State Representations of Recurrent Policy Networks pdf

Alan Fern, Sam Greydanus, Anurag Koul, 2018, ICLR.

Wireless Video Streaming with Collaborative Admission Control for Home Networks

Alan Fern, Thinh P. Nguyen, Monchai Lertsutthiwong, 2007, 2007 IEEE International Conference on Multimedia and Expo.

Finite Sample Complexity of Rare Pattern Anomaly Detection

Thomas G. Dietterich, Shubhomoy Das, Alan Fern, 2016, UAI.

On Throughput Guarantee of Aloha-Like Multi-Hop Wireless Networks

Alan Fern, Thinh P. Nguyen, Monchai Lertsutthiwong, 2010, Wirel. Pers. Commun..

Proceedings of the Twenty-Fourth International Conferenc on International Conference on Automated Planning and Scheduling

Steve Chien, Minh N. Do, Alan Fern, 2014 .

Automatic extraction of drainage network from digital terrain elevation data: a local network approach

Alan Fern, Mohamad T. Musavi, Jon Miranda, 1998, IEEE Trans. Geosci. Remote. Sens..

Active lmitation learning: formal and practical reductions to I.I.D. learning

Thomas G. Dietterich, Alan Fern, Prasad Tadepalli, 2014, J. Mach. Learn. Res..

Specific-to-general learning for temporal events

Robert Givan, Alan Fern, Jeffrey Mark Siskind, 2002, AAAI/IAAI.

Re-understanding Finite-State Representations of Recurrent Policy Networks pdf

Alan Fern, Saeed Khorram, Mohamad H. Danesh, 2020, ICML.

A Computational Decision Theory for Interactive Assistants

Alan Fern, Prasad Tadepalli, Alan Fern, 2010, Interactive Decision Theory and Game Theory.

Paper Industry, System Identification and Modeling

Alan Fern, Mohamad Musavi, Dan R. Coughlin, 1999 .

Bayesian Policy Search for Multi-Agent Role Discovery

Alan Fern, Prasad Tadepalli, Aaron Wilson, 2010, AAAI.

Can We Achieve Open Category Detection with Guarantees?

Thomas G. Dietterich, Alan Fern, Si Liu, 2018, AAAI Workshops.

Anomaly Detection Meta-Analysis Benchmarks

Thomas G. Dietterich, Weng-Keen Wong, Shubhomoy Das, 2016 .

Adaptation-Based Programming in Haskell

Alan Fern, Martin Erwig, Tim Bauer, 2011, DSL.

Contrastive Explanations for Reinforcement Learning via Embedded Self Predictions pdf

Alan Fern, Zhengxian Lin, Kim-Ho Lam, 2020, ArXiv.

DeepAveragers: Offline Reinforcement Learning by Solving Derived Non-Parametric MDPs pdf

Alan Fern, Prasad Tadepalli, Stefan Lee, 2020, ICLR.

Scalable Video Streaming for Single-Hop Wireless Networks Using a Contention-Based Access MAC Protocol

Alan Fern, Thinh P. Nguyen, Monchai Lertsutthiwong, 2008, Adv. Multim..

Multi-task reinforcement learning: a hierarchical Bayesian approach

Alan Fern, Prasad Tadepalli, Aaron Wilson, 2007, ICML '07.

Interactive Naming for Explaining Deep Neural Networks: A Formative Study pdf

Alan Fern, Prasad Tadepalli, Fuxin Li, 2018, IUI Workshops.

Sequential inference with reliable observations: Learning to construct force-dynamic models

Robert Givan, Alan Fern, Alan Fern, 2006, Artif. Intell..

Budgeted Optimization with Concurrent Stochastic-Duration Experiments

Alan Fern, Xiaoli Z. Fern, Javad Azimi, 2011, NIPS.

Scheduling Conservation Designs for Maximum Flexibility via Network Cascade Optimization

Alan Fern, Daniel Sheldon, Shan Xue, 2015, J. Artif. Intell. Res..

Visualizing and Understanding Atari Agents pdf

Jonathan Dodge, Alan Fern, Sam Greydanus, 2017, ICML.

Factored MCTS for Large Scale Stochastic Planning

Alan Fern, Prasad Tadepalli, Roni Khardon, 2015, AAAI.

Learning Intuitive Physics by Explaining Surprise

Alan Fern, Hung Nguyen, Jay Patravali, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Feedback-Guided Anomaly Discovery via Online Optimization

Thomas G. Dietterich, Alan Fern, David W. Archer, 2018, KDD.

Structured prediction via output space search

Alan Fern, Janardhan Rao Doppa, Prasad Tadepalli, 2014, J. Mach. Learn. Res..

Spike-Timing-Dependent Plasticity

Risto Miikkulainen, Scott Sanner, Kristian Kersting, 2010, Encyclopedia of Machine Learning.

Learning First-Order Definite Theories via Object-Based Queries

Alan Fern, Joseph Selman, 2011, ECML/PKDD.

Solving Relational MDPs with Exogenous Events and Additive Rewards pdf

Alan Fern, Prasad Tadepalli, Roni Khardon, 2013, ECML/PKDD.

Sample-Based Point Cloud Decoder Networks

Alan Fern, Erich Merrill, 2019 .

Budget-Aware Deep Semantic Video Segmentation

Alan Fern, Behrooz Mahasseni, Sinisa Todorovic, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Faster program adaptation through reward attribution inference

Alan Fern, Martin Erwig, Tim Bauer, 2012, GPCE '12.

Discriminative Learning of Beam-Search Heuristics for Planning

Alan Fern, Yuehua Xu, Sung Wook Yoon, 2007, IJCAI.

Automatic extraction of drainage networks from digital terrain elevation data: a local network approach

Alan Fern, Mohamad Musavi, J. Miranda, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Toward Representation Independent Analytics over Structured Data

Yizhou Sun, Alan Fern, Jose Picado, 2016, 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW).

Wireless video streaming for single-hop networks

Alan Fern, Thinh Nguyen, Monchai Lertsutthiwong, 2008 .

Learning Memory-Based Control for Human-Scale Bipedal Locomotion pdf

Alan Fern, Helei Duan, Jeremy Dao, 2020, Robotics: Science and Systems.

Schema Independent and Scalable Relational Learning By Castor

Alan Fern, Jose Picado, Arash Termehchy, 2016, Proc. VLDB Endow..

Learning Pruning Rules for Heuristic Search Planning

Olivier Buffet, Jörg Hoffmann, Alan Fern, 2014, ECAI.

Monte-Carlo Planning for Agile Legged Locomotion

Alan Fern, Jonathan W. Hurst, Pedro Morais, 2018, ICAPS.

Learning Control Knowledge for Forward Search Planning

Robert Givan, Alan Fern, Sung Wook Yoon, 2008, J. Mach. Learn. Res..

Scheduling Conservation Designs via Network Cascade Optimization

Alan Fern, Daniel Sheldon, Shan Xue, 2012, AAAI.

A Decision-Theoretic Model of Assistance - Evaluation, Extensions and Open Problems

Sriraam Natarajan, Alan Fern, Prasad Tadepalli, 2007, Interaction Challenges for Intelligent Assistants.

Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling

Steve Chien, Alan Fern, Wheeler Ruml, 2014 .

Exploiting prior knowledge in Intelligent Assistants - Combining relational models with hierarchies

Sriraam Natarajan, Alan Fern, Prasad Tadepalli, 2007, Probabilistic, Logical and Relational Learning - A Further Synthesis.

Learning temporal, relational, force-dynamic event definitions from video

Robert Givan, Alan Fern, Jeffrey Mark Siskind, 2002, AAAI/IAAI.

Play type recognition in real-world football video

Alan Fern, Sheng Chen, Behrooz Mahasseni, 2014, IEEE Winter Conference on Applications of Computer Vision.

Bayesian Optimization with Resource Constraints and Production

Alan Fern, Xiaoli Z. Fern, Nima Dolatnia, 2016, ICAPS.

Learning Measures of Progress for Planning Domains

Robert Givan, Alan Fern, Sung Wook Yoon, 2005, AAAI.

Transfer in variable-reward hierarchical reinforcement learning

Sriraam Natarajan, Alan Fern, Prasad Tadepalli, 2008, Machine Learning.

Lightweight Automated Testing with Adaptation-Based Programming

Alex Groce, Alan Fern, Martin Erwig, 2012, 2012 IEEE 23rd International Symposium on Software Reliability Engineering.

Workshop on Rich Representations for Reinforcement Learning : Held in conjunction with the 22nd International Conference on Machine Learning, August 7, 2005, Bonn, Germany

Alan Fern, Kurt Driessens, Martijn van Otterlo, 2005 .

The first learning track of the international planning competition

Alan Fern, Prasad Tadepalli, Roni Khardon, 2011, Machine Learning.

Improved Video Registration using Non-Distinctive Local Image Features

Alan Fern, Robin Hess, Alan Fern, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Bayesian role discovery for multi-agent reinforcement learning

Alan Fern, Prasad Tadepalli, Aaron Wilson, 2010, AAMAS.

Learning for efficient retrieval of structured data with noisy queries

Alan Fern, Prasad Tadepalli, Charles Parker, 2007, ICML '07.

Incorporating Expert Feedback into Active Anomaly Discovery

Thomas G. Dietterich, Weng-Keen Wong, Shubhomoy Das, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Detecting the Moment of Snap in Real-World Football Videos

Alan Fern, Sheng Chen, Behrooz Mahasseni, 2013, IAAI.

Emergency Response Optimization using Online Hybrid Planning

Alan Fern, Prasad Tadepalli, Aswin Raghavan, 2018, IJCAI.

Schema Independence of Learning Algorithms

Alan Fern, Jose Picado, Arash Termehchy, 2014 .

Incorporating Domain Models into Bayesian Optimization for RL

Alan Fern, Prasad Tadepalli, Aaron Wilson, 2010, ECML/PKDD.

Adaptive Submodularity with Varying Query Sets: An Application to Active Multi-label Learning

Alan Fern, Prasad Tadepalli, Robby Goetschalckx, 2017, ALT.

Approximate Policy Iteration with a Policy Language Bias

Robert Givan, Alan Fern, Sung Wook Yoon, 2003, NIPS.

A Simple-Transition Model for Relational Sequences

Alan Fern, Alan Fern, 2005, IJCAI.

A relational hierarchical model for decision-theoretic assistance

Sriraam Natarajan, Alan Fern, Prasad Tadepalli, 2011, Knowledge and Information Systems.

Online Planning for Resource Production in Real-Time Strategy Games

Alan Fern, Soumya Ray, Nick Wilson, 2007, ICAPS.

Systematic construction of anomaly detection benchmarks from real data pdf

Thomas G. Dietterich, Weng-Keen Wong, Shubhomoy Das, 2013, ODD '13.

Strategic Tasks for Explainable Reinforcement Learning

Alan Fern, Lawrence Neal, Rey Pocius, 2019, AAAI.

PEL-CNF: Probabilistic event logic conjunctive normal form for video interpretation

Mohamed R. Amer, Alan Fern, Sinisa Todorovic, 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

A Relational Hierarchical Model for Decision-Theoretic Assistance

Sriraam Natarajan, Alan Fern, Prasad Tadepalli, 2007, ILP.

A PENALTY‐LOGIC SIMPLE‐TRANSITION MODEL FOR STRUCTURED SEQUENCES

Alan Fern, Alan Fern, 2009, Comput. Intell..

Structured Attention Graphs for Understanding Deep Image Classifications pdf

Alan Fern, Prasad Tadepalli, Minsuk Kahng, 2020, ArXiv.

Sim-to-Real Learning of All Common Bipedal Gaits via Periodic Reward Composition pdf

Alan Fern, Jonathan Hurst, Yesh Godse, 2020, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Myopic Policies for Budgeted Optimization with Constrained Experiments

Hong Liu, Alan Fern, Xiaoli Z. Fern, 2010, AAAI.

Using trajectory data to improve bayesian optimization for reinforcement learning

Alan Fern, Prasad Tadepalli, Aaron Wilson, 2014, J. Mach. Learn. Res..

On learning linear ranking functions for beam search

Alan Fern, Yuehua Xu, Alan Fern, 2007, ICML '07.

Progressive Abstraction Refinement for Sparse Sampling

Thomas G. Dietterich, Alan Fern, Jesse Hostetler, 2015, UAI.

FF-Replan: A Baseline for Probabilistic Planning

Robert Givan, Alan Fern, Sung Wook Yoon, 2007, ICAPS.

Training Deep Reactive Policies for Probabilistic Planning Problems

Alan Fern, Prasad Tadepalli, Murugeswari Issakkimuthu, 2018, ICAPS.

Identifying Reasoning Flaws in Planning-Based RL Using Tree Explanations pdf

Jed Irvine, Alan Fern, Minsuk Kahng, 2021, ArXiv.

Doing Remote Controlled Studies with Humans: Tales from the COVID Trenches

Jed Irvine, Alan Fern, Margaret Burnett, 2021, 2021 IEEE/ACM 13th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE).

Blind Bipedal Stair Traversal via Sim-to-Real Reinforcement Learning pdf

Alan Fern, Kevin Green, Jonathan Hurst, 2021, Robotics: Science and Systems.

Out-of-Distribution Dynamics Detection: RL-Relevant Benchmarks and Results pdf

Alan Fern, Mohamad H Danesh, 2021, ArXiv.

Learning Task Space Actions for Bipedal Locomotion

Alan Fern, Helei Duan, Jeremy Dao, 2020, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Modeling Infant Free Play Using Hidden Markov Models

Alan Fern, Karen E. Adolph, Ori Ossmy, 2021, 2021 IEEE International Conference on Development and Learning (ICDL).

Deep Convolution for Irregularly Sampled Temporal Point Clouds pdf

Thomas G. Dietterich, Alan Fern, Li Fuxin, 2021, ArXiv.

An Empirical Study of Bayesian Optimization: Acquisition Versus Partition

Alan Fern, Xiaoli Z. Fern, Nima Dolatnia, 2021, J. Mach. Learn. Res..

Understanding Finite-State Representations of Recurrent Policy Networks

Alan Fern, Saeed Khorram, Mohamad H. Danesh, 2021, ICML.

Piecewise-constant Neural ODEs pdf

Alan Fern, Stefan Lee, Sam Greydanus, 2021, ArXiv.

From Heatmaps to Structural Explanations of Image Classifiers pdf

Alan Fern, Li Fuxin, Prasad Tadepalli, 2021, Applied AI Letters.

Scalable and Usable Relational Learning With Automatic Language Bias

Alan Fern, Jose Picado, Arash Termehchy, 2021, SIGMOD Conference.

Contrastive Explanations for Reinforcement Learning via Embedded Self Predictions pdf

Alan Fern, Zhengxian Lin, Kim-Ho Lam, 2020, ICLR.

Machine Learning for the Knowledge Plane

Thomas G. Dietterich, Alan Fern, Prasad Tadepalli, 2006 .

Efficient Learning of Action Models for Planning

Alan Fern, Prasad Tadepalli, Neville Mehta, 2011 .