Thomas Degris

22 papers A* 5A 2C 1Misc 1Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
Step-size Optimization for Continual Learning.
CoRR
Thomas Degris, Khurram Javed, Arsalan Sharifnassab, Yuxin Liu, Richard S. Sutton
2020 J jnl
Adapting Behavior via Intrinsic Reward: A Survey and Empirical Study.
J. Artif. Intell. Res.
Cam Linke, Nadia M. Ady, Martha White, Thomas Degris, Adam White
2019 J jnl
Adapting Behaviour via Intrinsic Reward: A Survey and Empirical Study.
CoRR
Cam Linke, Nadia M. Ady, Martha White, Thomas Degris, Adam White
2019 A* conf
Meta-Descent for Online, Continual Prediction.
AAAI
Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White
2019 J jnl
Meta-descent for Online, Continual Prediction.
CoRR
Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White
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 A* conf
The Predictron: End-To-End Learning and Planning.
ICML
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
2016 J jnl
The Predictron: End-To-End Learning and Planning.
CoRR
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
2014 A* conf
Deterministic Policy Gradient Algorithms.
ICML
David Silver, Guy Lever, Nicolas Heess, Thomas Degris, Daan Wierstra, Martin A. Riedmiller
2013 J jnl
Adaptive Artificial Limbs: A Real-Time Approach to Prediction and Anticipation.
IEEE Robotics Autom. Mag.
Patrick M. Pilarski, Michael Rory Dawson, Thomas Degris, Jason P. Carey, K. Ming Chan, Jacqueline S. Hebert, Richard S. Sutton
2012 J jnl
Chi-square Tests Driven Method for Learning the Structure of Factored MDPs.
CoRR
Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin
2012 A* conf
Linear Off-Policy Actor-Critic.
ICML
Thomas Degris, Martha White, Richard S. Sutton
2012 C conf
Model-Free reinforcement learning with continuous action in practice.
ACC
Thomas Degris, Patrick M. Pilarski, Richard S. Sutton
2012 J jnl
Off-Policy Actor-Critic
CoRR
Thomas Degris, Martha White, Richard S. Sutton
2012 — conf
Scaling-up Knowledge for a Cognizant Robot.
AAAI Spring Symposium: Designing Intelligent Robots
Thomas Degris, Joseph Modayil
2012 Misc conf
Tuning-free step-size adaptation.
ICASSP
Ashique Rupam Mahmood, Richard S. Sutton, Thomas Degris, Patrick M. Pilarski
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
2009 J jnl
Apprentissage par renforcement factorisé pour le comportement de personnages non joueurs.
Rev. d'Intelligence Artif.
Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin
2008 — conf
Exploiting Additive Structure in Factored MDPs for Reinforcement Learning.
EWRL
Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin
2006 A conf
Chi-square Tests Driven Method for Learning the Structure of Factored MDPs.
UAI
Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin
2006 A* conf
Learning the structure of Factored Markov Decision Processes in reinforcement learning problems.
ICML
Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin
2004 J jnl
Rapid response of head direction cells to reorienting visual cues: a computational model.
Neurocomputing
Thomas Degris, Olivier Sigaud, Sidney I. Wiener, Angelo Arleo