Thomas Degris

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 8

Top Topics

Reinforcement Learning

Policy Gradient

Top Venues

J. Artif. Intell. Res.

Publications

Thomas Degris, Khurram Javed, Arsalan Sharifnassab, Yuxin Liu, Richard S. Sutton
Step-size Optimization for Continual Learning. CoRR (2024)
Cam Linke, Nadia M. Ady, Martha White, Thomas Degris, Adam White
Adapting Behavior via Intrinsic Reward: A Survey and Empirical Study. J. Artif. Intell. Res. 69 (2020)
Cam Linke, Nadia M. Ady, Martha White, Thomas Degris, Adam White
Adapting Behaviour via Intrinsic Reward: A Survey and Empirical Study. CoRR (2019)
Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White
Meta-Descent for Online, Continual Prediction. AAAI (2019)
Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White
Meta-descent for Online, Continual Prediction. CoRR (2019)
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
Vector-based navigation using grid-like representations in artificial agents. Nat. 557 (7705) (2018)
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
The Predictron: End-To-End Learning and Planning. ICML (2017)
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
The Predictron: End-To-End Learning and Planning. CoRR (2016)
David Silver, Guy Lever, Nicolas Heess, Thomas Degris, Daan Wierstra, Martin A. Riedmiller
Deterministic Policy Gradient Algorithms. ICML (2014)
Patrick M. Pilarski, Michael Rory Dawson, Thomas Degris, Jason P. Carey, K. Ming Chan, Jacqueline S. Hebert, Richard S. Sutton
Adaptive Artificial Limbs: A Real-Time Approach to Prediction and Anticipation. IEEE Robotics Autom. Mag. 20 (1) (2013)
Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin
Chi-square Tests Driven Method for Learning the Structure of Factored MDPs. CoRR (2012)
Thomas Degris, Patrick M. Pilarski, Richard S. Sutton
Model-Free reinforcement learning with continuous action in practice. ACC (2012)
Thomas Degris, Joseph Modayil
Scaling-up Knowledge for a Cognizant Robot. AAAI Spring Symposium: Designing Intelligent Robots (2012)
Thomas Degris, Martha White, Richard S. Sutton
Off-Policy Actor-Critic CoRR (2012)
Thomas Degris, Martha White, Richard S. Sutton
Linear Off-Policy Actor-Critic. ICML (2012)
Ashique Rupam Mahmood, Richard S. Sutton, Thomas Degris, Patrick M. Pilarski
Tuning-free step-size adaptation. ICASSP (2012)
Richard S. Sutton, Joseph Modayil, Michael Delp, Thomas Degris, Patrick M. Pilarski, Adam White, Doina Precup
Horde: a scalable real-time architecture for learning knowledge from unsupervised sensorimotor interaction. AAMAS (2011)
Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin
Apprentissage par renforcement factorisé pour le comportement de personnages non joueurs. Rev. d'Intelligence Artif. 23 (2-3) (2009)
Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin
Exploiting Additive Structure in Factored MDPs for Reinforcement Learning. EWRL (2008)
Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin
Chi-square Tests Driven Method for Learning the Structure of Factored MDPs. UAI (2006)
Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin
Learning the structure of Factored Markov Decision Processes in reinforcement learning problems. ICML (2006)
Thomas Degris, Olivier Sigaud, Sidney I. Wiener, Angelo Arleo
Rapid response of head direction cells to reorienting visual cues: a computational model. Neurocomputing (2004)