Philip Thomas
Title
Cited by
Cited by
Year
Value function approximation in reinforcement learning using the Fourier basis
G Konidaris, S Osentoski, P Thomas
Twenty-fifth AAAI conference on artificial intelligence, 2011
3242011
Data-efficient off-policy policy evaluation for reinforcement learning
P Thomas, E Brunskill
International Conference on Machine Learning, 2139-2148, 2016
2932016
High-confidence off-policy evaluation
P Thomas, G Theocharous, M Ghavamzadeh
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
1722015
High confidence policy improvement
P Thomas, G Theocharous, M Ghavamzadeh
International Conference on Machine Learning, 2380-2388, 2015
1392015
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
1102015
Bias in natural actor-critic algorithms
P Thomas
International conference on machine learning, 441-448, 2014
1082014
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
1032016
Safe reinforcement learning
PS Thomas
University of Massachusetts Libraries, 2015
632015
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
612019
Learning action representations for reinforcement learning
Y Chandak, G Theocharous, J Kostas, S Jordan, P Thomas
International Conference on Machine Learning, 941-950, 2019
612019
Use of atrial and bifocal cardiac pacemakers for treating resistant dysrhythmias.
LS Dreifus, BV Berkovits, D Kimibiris, K Moghadam, G Haupt, P Walinsky, ...
European journal of cardiology 3 (4), 257-266, 1975
431975
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
392014
Using options and covariance testing for long horizon off-policy policy evaluation
ZD Guo, PS Thomas, E Brunskill
arXiv preprint arXiv:1703.03453, 2017
352017
Application of the actor-critic architecture to functional electrical stimulation control of a human arm
PS Thomas, A van den Bogert, K Jagodnik, M Branicky
Twenty-First IAAI Conference, 2009
352009
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
312017
Importance Sampling for Fair Policy Selection.
S Doroudi, PS Thomas, E Brunskill
Grantee Submission, 2017
282017
Some recent applications of reinforcement learning
AG Barto, PS Thomas, RS Sutton
Proceedings of the Eighteenth Yale Workshop on Adaptive and Learning Systems, 2017
282017
Projected Natural Actor-Critic.
PS Thomas, W Dabney, S Giguere, S Mahadevan
NIPS, 2337-2345, 2013
282013
Predictive off-policy policy evaluation for nonstationary decision problems, with applications to digital marketing
PS Thomas, G Theocharous, M Ghavamzadeh, I Durugkar, E Brunskill
Twenty-Ninth IAAI Conference, 2017
272017
Td_gamma: Re-evaluating complex backups in temporal difference learning
G Konidaris, S Niekum, PS Thomas
Advances in Neural Information Processing Systems 24, 2402-2410, 2011
272011
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Articles 1–20