Philip Thomas - Google Scholar

Cited by

	All	Since 2015
Citations	1495	1365
h-index	17	17
i10-index	34	32

440

220

110

330

20092010201120122013201420152016201720182019202011 6 14 24 27 37 73 145 174 238 436 292

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 inria.fr
Antonie J. (Ton) van den BogertProfessor of Mechanical Engineering, Cleveland State UniversityVerified email at csuohio.edu
George KonidarisBrownVerified email at cs.brown.edu
Michael BranickyProfessor of Electrical Engineering & Computer Science, University of KansasVerified email at ku.edu
Bruno Castro da SilvaFederal University of Rio Grande do SulVerified email at cs.umass.edu
Yash ChandakPhD Student, 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
Sridhar MahadevanDirector, Data Science Lab, Adobe Research & Professor, University of Massachusetts, AmherstVerified email at cs.umass.edu
Scott M. JordanPhD Candidate, University of Massachusetts AmherstVerified email at cs.umass.edu
Chris NotaUniversity of Massachusetts, AmherstVerified email at cs.umass.edu
Stephen GiguereUniversity of MassachusettsVerified 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
Christoph DannResearch Scientist, GoogleVerified email at google.com
Robert KirschProfessor and Chair of Biomedical Engineering, Case Western Reserve UniversityVerified email at case.edu

Philip Thomas

University of Massachusetts Amherst

Verified email at cs.umass.edu - Homepage

Artificial Intelligence Reinforcement Learning AI Safety


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Value function approximation in reinforcement learning using the Fourier basis G Konidaris Computer Science Department Faculty Publication Series, 101, 2008	274	2008
Data-efficient off-policy policy evaluation for reinforcement learning P Thomas, E Brunskill International Conference on Machine Learning, 2139-2148, 2016	201	2016
High-confidence off-policy evaluation PS Thomas, G Theocharous, M Ghavamzadeh Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015	132	2015
High confidence policy improvement P Thomas, G Theocharous, M Ghavamzadeh International Conference on Machine Learning, 2380-2388, 2015	97	2015
Increasing the action gap: New operators for reinforcement learning MG Bellemare, G Ostrovski, A Guez, PS Thomas, R Munos arXiv preprint arXiv:1512.04860, 2015	86	2015
Bias in natural actor-critic algorithms P Thomas International conference on machine learning, 441-448, 2014	76	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	68	2015
Safe reinforcement learning PS Thomas University of Massachusetts Libraries, 2015	45	2015
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
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	32	2009
Learning action representations for reinforcement learning Y Chandak, G Theocharous, J Kostas, S Jordan, PS Thomas arXiv preprint arXiv:1902.00183, 2019	28	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	24	2017
Projected natural actor-critic PS Thomas, WC Dabney, S Giguere, S Mahadevan Advances in neural information processing systems, 2337-2345, 2013	22	2013
Conjugate Markov Decision Processes P Thomas, A Barto International Conference on Machine Learning, 137-144, 2011	21	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	21	2011
Importance Sampling for Fair Policy Selection. S Doroudi, PS Thomas, E Brunskill Grantee Submission, 2017	19	2017
Motor primitive discovery PS Thomas, AG Barto 2012 IEEE International Conference on Development and Learning and …, 2012	18	2012
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	17	2019
Data-efficient policy evaluation through behavior policy search JP Hanna, PS Thomas, P Stone, S Niekum arXiv preprint arXiv:1706.03469, 2017	17	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	17	2017

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Upload PDF

Follow this author

Cited by

Co-authors