Joseph Modayil

According to our database, Joseph Modayil authored at least 41 papers between 1997 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Learning to Look by Self-Prediction.

Matthew Koichi Grimes, Joseph Modayil, Piotr W. Mirowski, Dushyant Rao, Raia Hadsell

Trans. Mach. Learn. Res., 2023

Towards model-free RL algorithms that scale well with unstructured data.

Joseph Modayil, Zaheer Abbas

CoRR, 2023

Loss of Plasticity in Continual Deep Reinforcement Learning.

Zaheer Abbas, Rosie Zhao, Joseph Modayil, Adam White, Marlos C. Machado

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

The Frost Hollow Experiments: Pavlovian Signalling as a Path to Coordination and Communication Between Agents.

Patrick M. Pilarski, Andrew Butcher, Elnaz Davoodi, Michael Bradley Johanson, Dylan J. A. Brenneis, Adam S. R. Parker, Leslie Acker, Matthew M. Botvinick, Joseph Modayil, Adam White

CoRR, 2022

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

Andrew Butcher, Michael Bradley Johanson, Elnaz Davoodi, Dylan J. A. Brenneis, Leslie Acker, Adam S. R. Parker, Adam White, Joseph Modayil, Patrick M. Pilarski

CoRR, 2022

2021

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

Dylan J. A. Brenneis, Adam S. R. Parker, Michael Bradley Johanson, Andrew Butcher, Elnaz Davoodi, Leslie Acker, Matthew M. Botvinick, Joseph Modayil, Adam White, Patrick M. Pilarski

CoRR, 2021

Adapting the Function Approximation Architecture in Online Reinforcement Learning.

John D. Martin, Joseph Modayil

CoRR, 2021

2019

On Inductive Biases in Deep Reinforcement Learning.

Matteo Hessel, Hado van Hasselt, Joseph Modayil, David Silver

CoRR, 2019

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

Tom Schaul, Diana Borsa, Joseph Modayil, Razvan Pascanu

CoRR, 2019

2018

Vector-based navigation using grid-like representations in artificial agents.

Andrea Banino, Caswell Barry, Benigno Uria, Charles Blundell, Timothy P. Lillicrap, Piotr Mirowski, Alexander Pritzel, Martin J. Chadwick, Thomas Degris, Joseph Modayil, Greg Wayne, Hubert Soyer, Fabio Viola, Brian Zhang, Ross Goroshin, Neil C. Rabinowitz, Razvan Pascanu, Charlie Beattie, Stig Petersen, Amir Sadik, Stephen Gaffney, Helen King, Koray Kavukcuoglu, Demis Hassabis, Raia Hadsell, Dharshan Kumaran

Nat., 2018

Deep Reinforcement Learning and the Deadly Triad.

Hado van Hasselt, Yotam Doron, Florian Strub, Matteo Hessel, Nicolas Sonnerat, Joseph Modayil

CoRR, 2018

The Barbados 2018 List of Open Issues in Continual Learning.

Tom Schaul, Hado van Hasselt, Joseph Modayil, Martha White, Adam White, Pierre-Luc Bacon, Jean Harb, Shibl Mourad, Marc G. Bellemare, Doina Precup

CoRR, 2018

Rainbow: Combining Improvements in Deep Reinforcement Learning.

Matteo Hessel, Joseph Modayil, Hado van Hasselt, Tom Schaul, Georg Ostrovski, Will Dabney, Dan Horgan, Bilal Piot, Mohammad Gheshlaghi Azar, David Silver

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

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

Matthew M. Botvinick, David G. T. Barrett, Peter W. Battaglia, Nando de Freitas, Dharshan Kumaran, Joel Z. Leibo, Tim Lillicrap, Joseph Modayil, S. Mohamed, Neil C. Rabinowitz, Danilo Jimenez Rezende, Adam Santoro, Tom Schaul, Christopher Summerfield, Greg Wayne, Theophane Weber, Daan Wierstra, Shane Legg, Demis Hassabis

CoRR, 2017

Natural Value Approximators: Learning when to Trust Past Estimates.

Zhongwen Xu, Joseph Modayil, Hado van Hasselt, André Barreto, David Silver, Tom Schaul

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2014

Multi-timescale nexting in a reinforcement learning robot.

Joseph Modayil, Adam White, Richard S. Sutton

Adapt. Behav., 2014

Universal Option Models.

Hengshuai Yao, Csaba Szepesvári, Richard S. Sutton, Joseph Modayil, Shalabh Bhatnagar

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Two Perspectives on Learning Rich Representations from Robot Experience.

Joseph Modayil

Proceedings of the Learning Rich Representations from Low-Level Sensors, 2013

2012

Reports of the AAAI 2011 Conference Workshops.

Noa Agmon, Vikas Agrawal, David W. Aha, Yiannis Aloimonos, Donagh Buckley, Prashant Doshi, Christopher W. Geib, Floriana Grasso, Nancy L. Green, Benjamin Johnston, Burt Kaliski, Christopher Kiekintveld, Edith Law, Henry Lieberman, Ole J. Mengshoel, Ted Metzler, Joseph Modayil, Douglas W. Oard, Nilufer Onder, Barry O'Sullivan, Katerina Pastra, Doina Precup, Sowmya Ramachandran, Chris Reed, Sanem Sariel Talay, Ted Selker, Lokendra Shastri, Stephen F. Smith, Satinder Singh, Siddharth Srivastava, Gita Sukthankar, David C. Uthus, Mary-Anne Williams

AI Mag., 2012

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

Joseph Modayil, Adam White, Patrick M. Pilarski, Richard S. Sutton

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Scaling life-long off-policy learning.

Adam White, Joseph Modayil, Richard S. Sutton

Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

Scaling-up Knowledge for a Cognizant Robot.

Thomas Degris, Joseph Modayil

Proceedings of the Designing Intelligent Robots, 2012

2011

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

Richard S. Sutton, Joseph Modayil, Michael Delp, Thomas Degris, Patrick M. Pilarski, Adam White, Doina Precup

Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

2010

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

Patrick Beeson, Joseph Modayil, Benjamin Kuipers

Int. J. Robotics Res., 2010

Extending rapidly-exploring random trees for asymptotically optimal anytime motion planning.

Yasin Abbasi-Yadkori, Joseph Modayil, Csaba Szepesvári

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Discovering sensor space: Constructing spatial embeddings that explain sensor correlations.

Joseph Modayil

Proceedings of the 2010 IEEE 9th International Conference on Development and Learning, 2010

Learning Grounded Communicative Intent from Human-Robot Dialog.

Joseph Modayil

Proceedings of the Dialog with Robots, 2010

2008

The initial development of object knowledge by a learning robot.

Joseph Modayil, Benjamin Kuipers

Robotics Auton. Syst., 2008

Improving the recognition of interleaved activities.

Joseph Modayil, Tongxin Bai, Henry A. Kautz

Proceedings of the UbiComp 2008: Ubiquitous Computing, 10th International Conference, 2008

Integrating Sensing and Cueing for More Effective Activity Reminders.

Joseph Modayil, Richard Levinson, Craig Harman, David Halper, Henry A. Kautz

Proceedings of the AI in Eldercare: New Solutions to Old Problems, 2008

2007

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

Patrick Beeson, Matt MacMahon, Joseph Modayil, Aniket Murarka, Benjamin Kuipers, Brian Stankiewicz

Proceedings of the Interaction Challenges for Intelligent Assistants, 2007

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

Joseph Modayil, Benjamin Kuipers

Proceedings of the Control Mechanisms for Spatial Knowledge Processing in Cognitive / Intelligent Systems, 2007

Autonomous Development of a Grounded Object Ontology by a Learning Robot.

Joseph Modayil, Benjamin Kuipers

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

Bootstrap learning of foundational representations.

Benjamin Kuipers, Patrick Beeson, Joseph Modayil, Jefferson Provost

Connect. Sci., 2006

Autonomous Shape Model Learning for Object Localization and Recognition.

Joseph Modayil, Benjamin Kuipers

Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006

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

Aniket Murarka, Joseph Modayil, Benjamin Kuipers

Proceedings of the Third Canadian Conference on Computer and Robot Vision (CRV 2006), 2006

2004

Bootstrap learning for object discovery.

Joseph Modayil, Benjamin Kuipers

Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan, September 28, 2004

Using the topological skeleton for scalable global metrical map-building.

Joseph Modayil, Patrick Beeson, Benjamin Kuipers

Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan, September 28, 2004

Local Metrical and Global Topological Maps in the Hybrid Spatial Semantic Hierarchy.

Benjamin Kuipers, Joseph Modayil, Patrick Beeson, Matt MacMahon, Francesco Savelli

Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

1998

An improved piecewise approximation algorithm for image compression.

Joseph Modayil, Howard Cheng, Xiaobo Li

Pattern Recognit., 1998

1997

Experiments in Simple One-Dimensional Lossy Image Compression Schemes.

Joseph Modayil, Howard Cheng, Xiaobo Li

Proceedings of the International Conference on Multimedia Computing and Systems, 1997