Joseph Modayil

50 papers A* 4A 4B 2Misc 1Journal 23Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	The Ungrounded Alignment Problem. CogSci Marc Pickett, Aakash Kumar Nain, Joseph Modayil, Llion Jones
2025	—	`conf`	The Ungrounded Alignment Problem. ICDL Marc Pickett, Aakash Kumar Nain, Joseph Modayil, Llion Jones
2024	J	`jnl`	The Ungrounded Alignment Problem. CoRR Marc Pickett, Aakash Kumar Nain, Joseph Modayil, Llion Jones
2023	J	`jnl`	Learning to Look by Self-Prediction. Trans. Mach. Learn. Res. Matthew Koichi Grimes, Joseph Modayil, Piotr W. Mirowski, Dushyant Rao, Raia Hadsell
2023	—	`conf`	Loss of Plasticity in Continual Deep Reinforcement Learning. CoLLAs Zaheer Abbas, Rosie Zhao, Joseph Modayil, Adam White, Marlos C. Machado
2023	J	`jnl`	Loss of Plasticity in Continual Deep Reinforcement Learning. CoRR Zaheer Abbas, Rosie Zhao, Joseph Modayil, Adam White, Marlos C. Machado
2023	J	`jnl`	Towards model-free RL algorithms that scale well with unstructured data. CoRR Joseph Modayil, Zaheer Abbas
2022	J	`jnl`	Pavlovian Signalling with General Value Functions in Agent-Agent Temporal Decision Making. CoRR Andrew Butcher, Michael Bradley Johanson, Elnaz Davoodi, Dylan J. A. Brenneis, Leslie Acker, Adam S. R. Parker, Adam White, Joseph Modayil, Patrick M. Pilarski
2022	J	`jnl`	The Frost Hollow Experiments: Pavlovian Signalling as a Path to Coordination and Communication Between Agents. CoRR 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
2021	J	`jnl`	Adapting the Function Approximation Architecture in Online Reinforcement Learning. CoRR John D. Martin, Joseph Modayil
2021	J	`jnl`	Assessing Human Interaction in Virtual Reality With Continually Learning Prediction Agents Based on Reinforcement Learning Algorithms: A Pilot Study. CoRR 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
2019	J	`jnl`	On Inductive Biases in Deep Reinforcement Learning. CoRR Matteo Hessel, Hado van Hasselt, Joseph Modayil, David Silver
2019	J	`jnl`	Ray Interference: a Source of Plateaus in Deep Reinforcement Learning. CoRR Tom Schaul, Diana Borsa, Joseph Modayil, Razvan Pascanu
2018	J	`jnl`	Deep Reinforcement Learning and the Deadly Triad. CoRR Hado van Hasselt, Yotam Doron, Florian Strub, Matteo Hessel, Nicolas Sonnerat, Joseph Modayil
2018	A*	`conf`	Rainbow: Combining Improvements in Deep Reinforcement Learning. AAAI Matteo Hessel, Joseph Modayil, Hado van Hasselt, Tom Schaul, Georg Ostrovski, Will Dabney, Dan Horgan, Bilal Piot, Mohammad Gheshlaghi Azar, David Silver
2018	J	`jnl`	The Barbados 2018 List of Open Issues in Continual Learning. CoRR Tom Schaul, Hado van Hasselt, Joseph Modayil, Martha White, Adam White, Pierre-Luc Bacon, Jean Harb, Shibl Mourad, Marc G. Bellemare, Doina Precup
2018	J	`jnl`	Vector-based navigation using grid-like representations in artificial agents. Nat. 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
2017	J	`jnl`	Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences, 2017. CoRR 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
2017	—	`conf`	Natural Value Approximators: Learning when to Trust Past Estimates. NIPS Zhongwen Xu, Joseph Modayil, Hado van Hasselt, André Barreto, David Silver, Tom Schaul
2017	J	`jnl`	Rainbow: Combining Improvements in Deep Reinforcement Learning. CoRR Matteo Hessel, Joseph Modayil, Hado van Hasselt, Tom Schaul, Georg Ostrovski, Will Dabney, Daniel Horgan, Bilal Piot, Mohammad Gheshlaghi Azar, David Silver
2014	J	`jnl`	Multi-timescale nexting in a reinforcement learning robot. Adapt. Behav. Joseph Modayil, Adam White, Richard S. Sutton
2014	—	`conf`	Universal Option Models. NIPS Hengshuai Yao, Csaba Szepesvári, Richard S. Sutton, Joseph Modayil, Shalabh Bhatnagar
2013	—	`conf`	Two Perspectives on Learning Rich Representations from Robot Experience. AAAI Workshop: Learning Rich Representations from Low-Level Sensors Joseph Modayil
2012	B	`conf`	Acquiring a broad range of empirical knowledge in real time by temporal-difference learning. SMC Joseph Modayil, Adam White, Patrick M. Pilarski, Richard S. Sutton
2012	—	`conf`	Multi-timescale Nexting in a Reinforcement Learning Robot. SAB Joseph Modayil, Adam White, Richard S. Sutton
2012	J	`jnl`	Reports of the AAAI 2011 Conference Workshops. AI Mag. 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
2012	J	`jnl`	Scaling Life-long Off-policy Learning CoRR Adam White, Joseph Modayil, Richard S. Sutton
2012	—	`conf`	Scaling life-long off-policy learning. ICDL-EPIROB Adam White, Joseph Modayil, Richard S. Sutton
2012	—	`conf`	Scaling-up Knowledge for a Cognizant Robot. AAAI Spring Symposium: Designing Intelligent Robots Thomas Degris, Joseph Modayil
2011	A	`conf`	Horde: a scalable real-time architecture for learning knowledge from unsupervised sensorimotor interaction. AAMAS Richard S. Sutton, Joseph Modayil, Michael Delp, Thomas Degris, Patrick M. Pilarski, Adam White, Doina Precup
2011	J	`jnl`	Multi-timescale Nexting in a Reinforcement Learning Robot CoRR Joseph Modayil, Adam White, Richard S. Sutton
2010	—	`conf`	Discovering sensor space: Constructing spatial embeddings that explain sensor correlations. ICDL Joseph Modayil
2010	A	`conf`	Extending rapidly-exploring random trees for asymptotically optimal anytime motion planning. IROS Yasin Abbasi-Yadkori, Joseph Modayil, Csaba Szepesvári
2010	J	`jnl`	Factoring the Mapping Problem: Mobile Robot Map-building in the Hybrid Spatial Semantic Hierarchy. Int. J. Robotics Res. Patrick Beeson, Joseph Modayil, Benjamin Kuipers
2010	—	`conf`	Learning Grounded Communicative Intent from Human-Robot Dialog. AAAI Fall Symposium: Dialog with Robots Joseph Modayil
2008	Misc	`conf`	Improving the recognition of interleaved activities. UbiComp Joseph Modayil, Tongxin Bai, Henry A. Kautz
2008	—	`conf`	Integrating Sensing and Cueing for More Effective Activity Reminders. AAAI Fall Symposium: AI in Eldercare: New Solutions to Old Problems Joseph Modayil, Richard Levinson, Craig Harman, David Halper, Henry A. Kautz
2008	J	`jnl`	The initial development of object knowledge by a learning robot. Robotics Auton. Syst. Joseph Modayil, Benjamin Kuipers
2007	A*	`conf`	Autonomous Development of a Grounded Object Ontology by a Learning Robot. AAAI Joseph Modayil, Benjamin Kuipers
2007	—	`conf`	Integrating Multiple Representations of Spatial Knowledge for Mapping, Navigation, and Communication. AAAI Spring Symposium: Interaction Challenges for Intelligent Assistants Patrick Beeson, Matt MacMahon, Joseph Modayil, Aniket Murarka, Benjamin Kuipers, Brian Stankiewicz
2007	—	`conf`	Integrating Multiple Representations of Spatial Knowledge for Mapping, Navigation, and Communication. Interaction Challenges for Intelligent Assistants Patrick Beeson, Matt MacMahon, Joseph Modayil, Aniket Murarka, Benjamin Kuipers, Brian Stankiewicz
2007	—	`conf`	Where Do Actions Come From? Autonomous Robot Learning of Objects and Actions. AAAI Spring Symposium: Control Mechanisms for Spatial Knowledge Processing in Cognitive / Intelligent Systems Joseph Modayil, Benjamin Kuipers
2006	A*	`conf`	Autonomous Shape Model Learning for Object Localization and Recognition. ICRA Joseph Modayil, Benjamin Kuipers
2006	J	`jnl`	Bootstrap learning of foundational representations. Connect. Sci. Benjamin Kuipers, Patrick Beeson, Joseph Modayil, Jefferson Provost
2006	—	`conf`	Building Local Safety Maps for a Wheelchair Robot using Vision and Lasers. CRV Aniket Murarka, Joseph Modayil, Benjamin Kuipers
2004	A	`conf`	Bootstrap learning for object discovery. IROS Joseph Modayil, Benjamin Kuipers
2004	A*	`conf`	Local Metrical and Global Topological Maps in the Hybrid Spatial Semantic Hierarchy. ICRA Benjamin Kuipers, Joseph Modayil, Patrick Beeson, Matt MacMahon, Francesco Savelli
2004	A	`conf`	Using the topological skeleton for scalable global metrical map-building. IROS Joseph Modayil, Patrick Beeson, Benjamin Kuipers
1998	J	`jnl`	An improved piecewise approximation algorithm for image compression. Pattern Recognit. Joseph Modayil, Howard Cheng, Xiaobo Li
1997	—	`conf`	Experiments in Simple One-Dimensional Lossy Image Compression Schemes. ICMCS Joseph Modayil, Howard Cheng, Xiaobo Li