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2020 – today
- 2024
[i6]Thomas Degris, Khurram Javed, Arsalan Sharifnassab, Yuxin Liu, Richard S. Sutton:
Step-size Optimization for Continual Learning. CoRR abs/2401.17401 (2024)- 2020
- [j5]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: 1287-1332 (2020)
2010 – 2019
- 2019
- [c11]Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White:
Meta-Descent for Online, Continual Prediction. AAAI 2019: 3943-3950 - [i5]Cam Linke, Nadia M. Ady, Martha White, Thomas Degris, Adam White:
Adapting Behaviour via Intrinsic Reward: A Survey and Empirical Study. CoRR abs/1906.07865 (2019) - [i4]Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White:
Meta-descent for Online, Continual Prediction. CoRR abs/1907.07751 (2019) - 2018
- [j4]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): 429-433 (2018) - 2017
- [c10]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: 3191-3199 - 2016
- [i3]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 abs/1612.08810 (2016) - 2014
- [c9]David Silver, Guy Lever, Nicolas Heess, Thomas Degris, Daan Wierstra, Martin A. Riedmiller:
Deterministic Policy Gradient Algorithms. ICML 2014: 387-395 - 2013
- [j3]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): 53-64 (2013) - 2012
- [c8]Thomas Degris, Joseph Modayil:
Scaling-up Knowledge for a Cognizant Robot. AAAI Spring Symposium: Designing Intelligent Robots 2012 - [c7]Thomas Degris, Patrick M. Pilarski, Richard S. Sutton:
Model-Free reinforcement learning with continuous action in practice. ACC 2012: 2177-2182 - [c6]Ashique Rupam Mahmood, Richard S. Sutton, Thomas Degris, Patrick M. Pilarski:
Tuning-free step-size adaptation. ICASSP 2012: 2121-2124 - [c5]Thomas Degris, Martha White, Richard S. Sutton:
Linear Off-Policy Actor-Critic. ICML 2012 - [i2]Thomas Degris, Martha White, Richard S. Sutton:
Off-Policy Actor-Critic. CoRR abs/1205.4839 (2012) - [i1]Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin:
Chi-square Tests Driven Method for Learning the Structure of Factored MDPs. CoRR abs/1206.6842 (2012) - 2011
- [c4]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: 761-768
2000 – 2009
- 2009
- [j2]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): 221-251 (2009) - 2008
- [c3]Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin:
Exploiting Additive Structure in Factored MDPs for Reinforcement Learning. EWRL 2008: 15-26 - 2006
- [c2]Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin:
Learning the structure of Factored Markov Decision Processes in reinforcement learning problems. ICML 2006: 257-264 - [c1]Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin:
Chi-square Tests Driven Method for Learning the Structure of Factored MDPs. UAI 2006 - 2004
- [j1]Thomas Degris, Olivier Sigaud, Sidney I. Wiener, Angelo Arleo:
Rapid response of head direction cells to reorienting visual cues: a computational model. Neurocomputing 58-60: 675-682 (2004)
Coauthor Index
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