Thomas Degris

According to our database, Thomas Degris authored at least 19 papers between 2004 and 2024.

Collaborative distances:

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

2024

Step-size Optimization for Continual Learning.

Thomas Degris, Khurram Javed, Arsalan Sharifnassab, Yuxin Liu, Richard S. Sutton

CoRR, 2024

2020

Adapting Behavior via Intrinsic Reward: A Survey and Empirical Study.

Cam Linke, Nadia M. Ady, Martha White, Thomas Degris, Adam White

J. Artif. Intell. Res., 2020

2019

Adapting Behaviour via Intrinsic Reward: A Survey and Empirical Study.

Cam Linke, Nadia M. Ady, Martha White, Thomas Degris, Adam White

CoRR, 2019

Meta-Descent for Online, Continual Prediction.

Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 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

2017

The Predictron: End-To-End Learning and Planning.

David Silver, Hado van Hasselt, Matteo Hessel, Tom Schaul, Arthur Guez, Tim Harley, Gabriel Dulac-Arnold, David P. Reichert, Neil C. Rabinowitz, André Barreto, Thomas Degris

Proceedings of the 34th International Conference on Machine Learning, 2017

2014

Deterministic Policy Gradient Algorithms.

David Silver, Guy Lever, Nicolas Heess, Thomas Degris, Daan Wierstra, Martin A. Riedmiller

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Adaptive Artificial Limbs: A Real-Time Approach to Prediction and Anticipation.

Patrick M. Pilarski, Michael Rory Dawson, Thomas Degris, Jason P. Carey, K. Ming Chan, Jacqueline S. Hebert, Richard S. Sutton

IEEE Robotics Autom. Mag., 2013

2012

Off-Policy Actor-Critic

Thomas Degris, Martha White, Richard S. Sutton

CoRR, 2012

Linear Off-Policy Actor-Critic.

Thomas Degris, Martha White, Richard S. Sutton

Proceedings of the 29th International Conference on Machine Learning, 2012

Tuning-free step-size adaptation.

Ashique Rupam Mahmood, Richard S. Sutton, Thomas Degris, Patrick M. Pilarski

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Model-Free reinforcement learning with continuous action in practice.

Thomas Degris, Patrick M. Pilarski, Richard S. Sutton

Proceedings of the American Control Conference, 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

2009

Apprentissage par renforcement factorisé pour le comportement de personnages non joueurs.

Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin

Rev. d'Intelligence Artif., 2009

2008

Exploiting Additive Structure in Factored MDPs for Reinforcement Learning.

Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin

Proceedings of the Recent Advances in Reinforcement Learning, 8th European Workshop, 2008

2006

Chi-square Tests Driven Method for Learning the Structure of Factored MDPs.

Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin

Proceedings of the UAI '06, 2006

Learning the structure of Factored Markov Decision Processes in reinforcement learning problems.

Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin

Proceedings of the Machine Learning, 2006

2004

Rapid response of head direction cells to reorienting visual cues: a computational model.

Thomas Degris, Olivier Sigaud, Sidney I. Wiener, Angelo Arleo

Neurocomputing, 2004