Joseph Modayil

According to our database1, Joseph Modayil authored at least 34 papers between 1997 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2019
On Inductive Biases in Deep Reinforcement Learning.
CoRR, 2019

Ray Interference: a Source of Plateaus in Deep Reinforcement Learning.
CoRR, 2019

2018
Vector-based navigation using grid-like representations in artificial agents.
Nat., 2018

Deep Reinforcement Learning and the Deadly Triad.
CoRR, 2018

The Barbados 2018 List of Open Issues in Continual Learning.
CoRR, 2018

Rainbow: Combining Improvements in Deep Reinforcement Learning.
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.
CoRR, 2017

Natural Value Approximators: Learning when to Trust Past Estimates.
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.
Adapt. Behav., 2014

Universal Option Models.
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.
Proceedings of the Learning Rich Representations from Low-Level Sensors, 2013

2012
Reports of the AAAI 2011 Conference Workshops.
AI Mag., 2012

Acquiring a broad range of empirical knowledge in real time by temporal-difference learning.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Scaling life-long off-policy learning.
Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

Scaling-up Knowledge for a Cognizant Robot.
Proceedings of the Designing Intelligent Robots, 2012

2011
Horde: a scalable real-time architecture for learning knowledge from unsupervised sensorimotor interaction.
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.
Int. J. Robotics Res., 2010

Extending rapidly-exploring random trees for asymptotically optimal anytime motion planning.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Discovering sensor space: Constructing spatial embeddings that explain sensor correlations.
Proceedings of the 2010 IEEE 9th International Conference on Development and Learning, 2010

Learning Grounded Communicative Intent from Human-Robot Dialog.
Proceedings of the Dialog with Robots, 2010

2008
The initial development of object knowledge by a learning robot.
Robotics Auton. Syst., 2008

Improving the recognition of interleaved activities.
Proceedings of the UbiComp 2008: Ubiquitous Computing, 10th International Conference, 2008

Integrating Sensing and Cueing for More Effective Activity Reminders.
Proceedings of the AI in Eldercare: New Solutions to Old Problems, 2008

2007
Integrating Multiple Representations of Spatial Knowledge for Mapping, Navigation, and Communication.
Proceedings of the Interaction Challenges for Intelligent Assistants, 2007

Where Do Actions Come From? Autonomous Robot Learning of Objects and Actions.
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.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Bootstrap learning of foundational representations.
Connect. Sci., 2006

Autonomous Shape Model Learning for Object Localization and Recognition.
Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006

Building Local Safety Maps for a Wheelchair Robot using Vision and Lasers.
Proceedings of the Third Canadian Conference on Computer and Robot Vision (CRV 2006), 2006

2004
Bootstrap learning for object discovery.
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.
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.
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

1998
An improved piecewise approximation algorithm for image compression.
Pattern Recognit., 1998

1997
Experiments in Simple One-Dimensional Lossy Image Compression Schemes.
Proceedings of the International Conference on Multimedia Computing and Systems, 1997


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