Philip Thomas

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	All	Since 2016
Citations	1758	1527
h-index	20	19
i10-index	35	33

540

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20092010201120122013201420152016201720182019202020216 7 14 30 29 43 72 136 174 252 409 538 15

Co-authors

Emma BrunskillAssistant Professor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Georgios TheocharousAdobe ResearchVerified email at adobe.com
Mohammad GhavamzadehGoogle ResearchVerified email at google.com
Antonie J. (Ton) van den BogertProfessor of Mechanical Engineering, Cleveland State UniversityVerified email at csuohio.edu
George KonidarisBrownVerified email at cs.brown.edu
Yash ChandakPhD Candidate, University of Massachusetts, AmherstVerified email at cs.umass.edu
Michael BranickyProfessor of Electrical Engineering & Computer Science, University of KansasVerified email at ku.edu
Bruno Castro da SilvaUniversity of MassachusettsVerified email at cs.umass.edu
Scott M. JordanPhD Candidate, University of Massachusetts AmherstVerified email at cs.umass.edu
Scott NiekumAssistant Professor, University of Texas at AustinVerified email at cs.utexas.edu
Will DabneyDeepMindVerified email at google.com
Sarah OsentoskiIron OxVerified email at ironox.com
Stephen GiguereUniversity of MassachusettsVerified email at cs.umass.edu
Sridhar MahadevanDirector, Data Science Lab, Adobe Research & Professor, University of Massachusetts, AmherstVerified email at cs.umass.edu
Yuriy BrunCollege of Information and Computer Sciences, University of Massachusetts AmherstVerified email at cs.umass.edu
Georg OstrovskiGoogle DeepMindVerified email at google.com
Arthur GuezGoogle DeepMindVerified email at google.com
Rémi MunosDeepMindVerified email at inria.fr
Marc G. BellemareGoogle BrainVerified email at google.com
Chris NotaUniversity of Massachusetts, AmherstVerified email at cs.umass.edu

Philip Thomas

University of Massachusetts Amherst

Verified email at cs.umass.edu - Homepage

Artificial Intelligence Reinforcement Learning AI Safety


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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	293	2011
Data-efficient off-policy policy evaluation for reinforcement learning P Thomas, E Brunskill International Conference on Machine Learning, 2139-2148, 2016	235	2016
High-confidence off-policy evaluation P Thomas, G Theocharous, M Ghavamzadeh Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015	157	2015
High confidence policy improvement P Thomas, G Theocharous, M Ghavamzadeh International Conference on Machine Learning, 2380-2388, 2015	115	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	95	2016
Ad recommendation systems for life-time value optimization G Theocharous, PS Thomas, M Ghavamzadeh Proceedings of the 24th International Conference on World Wide Web, 1305-1310, 2015	92	2015
Bias in natural actor-critic algorithms P Thomas International conference on machine learning, 441-448, 2014	90	2014
Safe reinforcement learning PS Thomas University of Massachusetts Libraries, 2015	52	2015
Learning action representations for reinforcement learning Y Chandak, G Theocharous, J Kostas, S Jordan, P Thomas International Conference on Machine Learning, 941-950, 2019	49	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	37	2014
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	36	2019
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	36	2009
Using options and covariance testing for long horizon off-policy policy evaluation ZD Guo, PS Thomas, E Brunskill arXiv preprint arXiv:1703.03453, 2017	28	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	25	2017
Conjugate Markov Decision Processes P Thomas, A Barto International Conference on Machine Learning, 137-144, 2011	25	2011
Projected Natural Actor-Critic. PS Thomas, W Dabney, S Giguere, S Mahadevan NIPS, 2337-2345, 2013	24	2013
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	24	2011
Importance Sampling for Fair Policy Selection. S Doroudi, PS Thomas, E Brunskill Grantee Submission, 2017	23	2017
Some recent applications of reinforcement learning AG Barto, PS Thomas, RS Sutton Proceedings of the 18th Yale Workshop on Adaptive and Learning Systems, 2017	22	2017
Predictive Off-Policy Policy Evaluation for Nonstationary Decision Problems, with Applications to Digital Marketing. PS Thomas, G Theocharous, M Ghavamzadeh, I Durugkar, E Brunskill AAAI, 4740-4745, 2017	20	2017

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