Joseph Modayil

发表

Natural Value Approximators: Learning when to Trust Past Estimates

Tom Schaul, David Silver, Zhongwen Xu, 2017, NIPS.

Building Local Safety Maps for a Wheelchair Robot using Vision and Lasers

Benjamin Kuipers, Joseph Modayil, Aniket Murarka, 2006, The 3rd Canadian Conference on Computer and Robot Vision (CRV'06).

Discovering sensor space: Constructing spatial embeddings that explain sensor correlations

Joseph Modayil, Joseph Modayil, 2010, 2010 IEEE 9th International Conference on Development and Learning.

On Inductive Biases in Deep Reinforcement Learning pdf

David Silver, Matteo Hessel, Joseph Modayil, 2019, ArXiv.

Two Perspectives on Learning Rich Representations from Robot Experience

Joseph Modayil, Joseph Modayil, 2013, AAAI Workshop: Learning Rich Representations from Low-Level Sensors.

Deep Reinforcement Learning and the Deadly Triad pdf

Matteo Hessel, Florian Strub, Joseph Modayil, 2018, ArXiv.

An improved piecewise approximation algorithm for image compression

Xiaobo Li, Howard Cheng, Joseph Modayil, 1998, Pattern Recognit..

Ray Interference: a Source of Plateaus in Deep Reinforcement Learning pdf

Razvan Pascanu, Tom Schaul, Joseph Modayil, 2019, ArXiv.

Reports of the AAAI 2011 Conference Workshops

Henry Lieberman, David W. Aha, Christopher W. Geib, 2012, AI Mag..

Experiments in simple one-dimensional lossy image compression schemes

Xiaobo Li, Howard Cheng, Joseph Modayil, 1997, Proceedings of IEEE International Conference on Multimedia Computing and Systems.

The initial development of object knowledge by a learning robot

Benjamin Kuipers, Joseph Modayil, Joseph Modayil, 2008, Robotics Auton. Syst..

Improving the recognition of interleaved activities

Henry A. Kautz, Tongxin Bai, Joseph Modayil, 2008, UbiComp.

Horde: a scalable real-time architecture for learning knowledge from unsupervised sensorimotor interaction

Patrick M. Pilarski, Doina Precup, Richard S. Sutton, 2011, AAMAS.

Autonomous Development of a Grounded Object Ontology by a Learning Robot

Benjamin Kuipers, Joseph Modayil, Joseph Modayil, 2007, AAAI.

Acquiring a broad range of empirical knowledge in real time by temporal-difference learning

Patrick M. Pilarski, Richard S. Sutton, Adam White, 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Scaling-up Knowledge for a Cognizant Robot

Thomas Degris, Joseph Modayil, Joseph Modayil, 2012, AAAI Spring Symposium: Designing Intelligent Robots.

Using the topological skeleton for scalable global metrical map-building

Benjamin Kuipers, Patrick Beeson, Joseph Modayil, 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

The Barbados 2018 List of Open Issues in Continual Learning pdf

Martha White, Tom Schaul, Marc G. Bellemare, 2018, ArXiv.

Learning Grounded Communicative Intent from Human-Robot Dialog

Joseph Modayil, Joseph Modayil, 2010, AAAI Fall Symposium: Dialog with Robots.

Multi-timescale nexting in a reinforcement learning robot

Richard S. Sutton, Adam White, Joseph Modayil, 2011, Adapt. Behav..

Multi-timescale Nexting in a Reinforcement Learning Robot

Richard S. Sutton, Adam White, Joseph Modayil, 2012, SAB.

AAAI Workshop - Technical Report: Preface

Doina Precup, Joseph Modayil, Satinder Singh, 2011, AAAI 2011.

Scaling life-long off-policy learning

Richard S. Sutton, Adam White, Joseph Modayil, 2012, 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL).

Factoring the Mapping Problem: Mobile Robot Map-building in the Hybrid Spatial Semantic Hierarchy

Benjamin Kuipers, Patrick Beeson, Joseph Modayil, 2010, Int. J. Robotics Res..

Where Do Actions Come From? Autonomous Robot Learning of Objects and Actions

Benjamin Kuipers, Joseph Modayil, 2007, AAAI Spring Symposium: Control Mechanisms for Spatial Knowledge Processing in Cognitive / Intelligent Systems.

Local metrical and global topological maps in the hybrid spatial semantic hierarchy

Benjamin Kuipers, Patrick Beeson, Matt MacMahon, 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

Integrating Sensing and Cueing for More Effective Activity Reminders

Henry A. Kautz, Craig Harman, Joseph Modayil, 2008, AAAI Fall Symposium: AI in Eldercare: New Solutions to Old Problems.

Autonomous shape model learning for object localization and recognition

Benjamin Kuipers, Joseph Modayil, 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

Universal Option Models

Shalabh Bhatnagar, Richard S. Sutton, Csaba Szepesvári, 2014, NIPS.

Bootstrap learning for object discovery

Benjamin Kuipers, Joseph Modayil, 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

Rainbow: Combining Improvements in Deep Reinforcement Learning

Tom Schaul, David Silver, Matteo Hessel, 2017, AAAI.

Integrating Multiple Representations of Spatial Knowledge for Mapping, Navigation, and Communication

Benjamin Kuipers, Patrick Beeson, Matt MacMahon, 2007, Interaction Challenges for Intelligent Assistants.

Prediction Driven Behavior: Learning Predictions that Drive Fixed Responses

Richard S. Sutton, Joseph Modayil, R. Sutton, 2014, AAAI 2014.

Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences, 2017

Tom Schaul, Nando de Freitas, Shane Legg, 2017, 1711.08378.

Bootstrap learning of foundational representations

Benjamin Kuipers, Patrick Beeson, Joseph Modayil, 2006, Connect. Sci..

Adapting the Function Approximation Architecture in Online Reinforcement Learning pdf

Joseph Modayil, John D. Martin, Joseph Modayil, 2021, ArXiv.

Pavlovian Signalling with General Value Functions in Agent-Agent Temporal Decision Making pdf

Patrick M. Pilarski, Elnaz Davoodi, Adam White, 2022, ArXiv.

Assessing Human Interaction in Virtual Reality With Continually Learning Prediction Agents Based on Reinforcement Learning Algorithms: A Pilot Study pdf

Patrick M. Pilarski, Elnaz Davoodi, Adam White, 2021, ArXiv.

Predicting the near-future impact of daily activities on heart rate for at-risk populations

Joseph Modayil, Gordana Velikic, Mark Bocko, 2011, 2011 IEEE 13th International Conference on e-Health Networking, Applications and Services.