Thomas Degris
Thomas Degris
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Cited by
Deterministic policy gradient algorithms
D Silver, G Lever, N Heess, T Degris, D Wierstra, M Riedmiller
International conference on machine learning, 387-395, 2014
Vector-based navigation using grid-like representations in artificial agents
A Banino, C Barry, B Uria, C Blundell, T Lillicrap, P Mirowski, A Pritzel, ...
Nature 557 (7705), 429-433, 2018
Deep reinforcement learning in large discrete action spaces
G Dulac-Arnold, R Evans, H van Hasselt, P Sunehag, T Lillicrap, J Hunt, ...
arXiv preprint arXiv:1512.07679, 2015
Off-policy actor-critic
T Degris, M White, RS Sutton
arXiv preprint arXiv:1205.4839, 2012
Horde: A scalable real-time architecture for learning knowledge from unsupervised sensorimotor interaction
RS Sutton, J Modayil, M Delp, T Degris, PM Pilarski, A White, D Precup
The 10th International Conference on Autonomous Agents and Multiagent …, 2011
Model-free reinforcement learning with continuous action in practice
T Degris, PM Pilarski, RS Sutton
2012 American control conference (ACC), 2177-2182, 2012
The predictron: End-to-end learning and planning
D Silver, H Hasselt, M Hessel, T Schaul, A Guez, T Harley, ...
International Conference on Machine Learning, 3191-3199, 2017
Online human training of a myoelectric prosthesis controller via actor-critic reinforcement learning
PM Pilarski, MR Dawson, T Degris, F Fahimi, JP Carey, RS Sutton
2011 IEEE international conference on rehabilitation robotics, 1-7, 2011
Learning the structure of factored markov decision processes in reinforcement learning problems
T Degris, O Sigaud, PH Wuillemin
Proceedings of the 23rd international conference on Machine learning, 257-264, 2006
Adaptive artificial limbs: a real-time approach to prediction and anticipation
PM Pilarski, MR Dawson, T Degris, JP Carey, KM Chan, JS Hebert, ...
IEEE Robotics & Automation Magazine 20 (1), 53-64, 2013
Tuning-free step-size adaptation
AR Mahmood, RS Sutton, T Degris, PM Pilarski
2012 IEEE international conference on acoustics, speech and signal …, 2012
Dynamic switching and real-time machine learning for improved human control of assistive biomedical robots
PM Pilarski, MR Dawson, T Degris, JP Carey, RS Sutton
2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and …, 2012
Adapting behavior via intrinsic reward: A survey and empirical study
C Linke, NM Ady, M White, T Degris, A White
Journal of artificial intelligence research 69, 1287-1332, 2020
A spiking neuron model of head-direction cells for robot orientation
T Degris, L Lachèze, C Boucheny, A Arleo
Factored markov decision processes
T Degris, O Sigaud
Markov Decision Processes in Artificial Intelligence, 99-126, 2013
Meta-descent for online, continual prediction
A Jacobsen, M Schlegel, C Linke, T Degris, A White, M White
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3943-3950, 2019
Rapid response of head direction cells to reorienting visual cues: a computational model
T Degris, O Sigaud, SI Wiener, A Arleo
Neurocomputing 58, 675-682, 2004
Chi-square tests driven method for learning the structure of factored mdps
T Degris, O Sigaud, PH Wuillemin
arXiv preprint arXiv:1206.6842, 2012
Scaling-up knowledge for a cognizant robot
T Degris, J Modayil
AAAI Spring Symposium on Designing Intelligent Robots: Reintegrating AI., 2012
Apprentissage par renforcement dans les processus de décision markoviens factorisés
T Degris
Paris 6, 2007
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