Philip Thomas
Cited by
Cited by
Value function approximation in reinforcement learning using the Fourier basis
G Konidaris, S Osentoski, P Thomas
Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 2011
Data-efficient off-policy policy evaluation for reinforcement learning
P Thomas, E Brunskill
International Conference on Machine Learning, 2139-2148, 2016
High-confidence off-policy evaluation
P Thomas, G Theocharous, M Ghavamzadeh
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
High confidence policy improvement
P Thomas, G Theocharous, M Ghavamzadeh
International Conference on Machine Learning, 2380-2388, 2015
Increasing the action gap: New operators for reinforcement learning
MG Bellemare, G Ostrovski, A Guez, P Thomas, R Munos
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
Bias in natural actor-critic algorithms
P Thomas
International conference on machine learning, 441-448, 2014
Personalized ad recommendation systems for life-time value optimization with guarantees
G Theocharous, PS Thomas, M Ghavamzadeh
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Safe reinforcement learning
PS Thomas
University of Massachusetts Libraries, 2015
Learning action representations for reinforcement learning
Y Chandak, G Theocharous, J Kostas, S Jordan, PS Thomas
arXiv preprint arXiv:1902.00183, 2019
Proximal reinforcement learning: A new theory of sequential decision making in primal-dual spaces
S Mahadevan, B Liu, P Thomas, W Dabney, S Giguere, N Jacek, I Gemp, ...
arXiv preprint arXiv:1405.6757, 2014
Application of the actor-critic architecture to functional electrical stimulation control of a human arm
P Thomas, M Branicky, A van den Bogert, K Jagodnik
Proceedings of the... Innovative Applications of Artificial Intelligence …, 2009
Preventing undesirable behavior of intelligent machines
P Thomas, B Castro da Silva, A Barto, S Giguere, Y Brun, E Brunskill
Science 366 (6468), 999-1004, 2019
Using options and covariance testing for long horizon off-policy policy evaluation
Z Guo, PS Thomas, E Brunskill
Advances in Neural Information Processing Systems, 2492-2501, 2017
Conjugate Markov Decision Processes
P Thomas, A Barto
International Conference on Machine Learning, 137-144, 2011
Td_gamma: Re-evaluating complex backups in temporal difference learning
G Konidaris, S Niekum, PS Thomas
Advances in Neural Information Processing Systems, 2402-2410, 2011
Importance Sampling for Fair Policy Selection.
S Doroudi, PS Thomas, E Brunskill
Grantee Submission, 2017
Training an actor-critic reinforcement learning controller for arm movement using human-generated rewards
KM Jagodnik, PS Thomas, AJ van den Bogert, MS Branicky, RF Kirsch
IEEE Transactions on Neural Systems and Rehabilitation Engineering 25 (10 …, 2017
Projected natural actor-critic
PS Thomas, WC Dabney, S Giguere, S Mahadevan
Advances in neural information processing systems 26, 2337-2345, 2013
Some recent applications of reinforcement learning
AG Barto, PS Thomas, RS Sutton
Proceedings of the Eighteenth Yale Workshop on Adaptive and Learning Systems, 2017
Motor primitive discovery
PS Thomas, AG Barto
2012 IEEE International Conference on Development and Learning and …, 2012
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