Satinder Singh

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Richard L. LewisProfessor of Psychology, Linguistics and Cognitive Science, University of MichiganAdresse e-mail validée de umich.edu
Richard S. SuttonKeen, Amii, and University of AlbertaAdresse e-mail validée de richsutton.com
Michael KearnsProfessor of Computer Science, University of PennsylvaniaAdresse e-mail validée de cis.upenn.edu
Doina PrecupDeepMind and McGill UniversityAdresse e-mail validée de cs.mcgill.ca
Andrew BartoUniversity of Massachusetts AmherstAdresse e-mail validée de cs.umass.edu
Junhyuk OhResearch Scientist, DeepMindAdresse e-mail validée de google.com
Yishay MansourTel Aviv UniversityAdresse e-mail validée de tauex.tau.ac.il
Michael LittmanBrown UniversityAdresse e-mail validée de brown.edu
David McAllesterProfessor, Toyota Technological Institute at ChicagoAdresse e-mail validée de ttic.edu
Honglak LeeLG AI Research / U. MichiganAdresse e-mail validée de umich.edu
Tommi JaakkolaMITAdresse e-mail validée de csail.mit.edu
David SilverDeepMind, UCLAdresse e-mail validée de google.com
Michael WellmanProfessor of Computer Science & Engineering, University of MichiganAdresse e-mail validée de umich.edu
Hado van HasseltResearch Scientist, DeepMind; Honorary Professor, UCLAdresse e-mail validée de google.com
Tom ZahavyStaff Research Scientist, Google DeepMindAdresse e-mail validée de deepmind.com
Yevgeniy VorobeychikWashington University in Saint LouisAdresse e-mail validée de wustl.edu
Edmund DurfeeProfessor Emeritus of Computer Science and Engineering, University of MichiganAdresse e-mail validée de umich.edu
Nan JiangAssociate Professor of Computer Science, UIUCAdresse e-mail validée de illinois.edu
Xiaoxiao GuoLinkedInAdresse e-mail validée de fb.com
Marilyn WalkerProfessor of Computer Science and Engineering, University of California Santa CruzAdresse e-mail validée de ucsc.edu

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Satinder Singh

Google DeepMind / U. of Michigan

Adresse e-mail validée de umich.edu - Page d'accueil

Reinforcement Learning Computational Game Theory Artificial Intelligence


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Policy Gradient Methods for Reinforcement Learning with Function Approximation R Sutton, D McAllester, S Singh, Y Mansour Neural Information Processing Systems, 1999	8687	1999
Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning RS Sutton, D Precup, S Singh Artificial intelligence 112 (1-2), 181-211, 1999	4528	1999
Learning to act using real-time dynamic programming AG Barto, SJ Bradtke, SP Singh Artificial intelligence 72 (1-2), 81-138, 1995	1670	1995
Near-optimal reinforcement learning in polynomial time M Kearns, S Singh Machine learning 49, 209-232, 2002	1366	2002
Convergence of stochastic iterative dynamic programming algorithms T Jaakkola, M Jordan, S Singh Advances in neural information processing systems 6, 1993	1352	1993
Action-conditional video prediction using deep networks in atari games J Oh, X Guo, H Lee, RL Lewis, S Singh Advances in neural information processing systems 28, 2015	1081	2015
Reinforcement learning with replacing eligibility traces SP Singh, RS Sutton Machine learning 22 (1), 123-158, 1996	1042	1996
Intrinsically motivated reinforcement learning N Chentanez, A Barto, S Singh Advances in neural information processing systems 17, 2004	1036	2004
Convergence results for single-step on-policy reinforcement-learning algorithms S Singh, T Jaakkola, ML Littman, C Szepesvári Machine learning 38, 287-308, 2000	1024	2000
Eligibility traces for off-policy policy evaluation D Precup, R Sutton, S Singh Computer Science Department Faculty Publication Series, 80, 2000	978	2000
Graphical models for game theory M Kearns, ML Littman, S Singh arXiv preprint arXiv:1301.2281, 2013	816	2013
Predictive representations of state ML Littman, RS Sutton, S Singh Advances in neural information processing systems, 1555-1561, 2002	725	2002
Learning without state-estimation in partially observable Markovian decision processes SP Singh, T Jaakkola, MI Jordan Machine Learning Proceedings 1994, 284-292, 1994	627	1994
Reward is enough D Silver, S Singh, D Precup, RS Sutton Artificial Intelligence 299, 103535, 2021	591	2021
Intrinsically motivated reinforcement learning: An evolutionary perspective S Singh, RL Lewis, AG Barto, J Sorg IEEE Transactions on Autonomous Mental Development 2 (2), 70-82, 2010	580	2010
Intrinsically motivated learning of hierarchical collections of skills AG Barto, S Singh, N Chentanez Proceedings of the 3rd International Conference on Development and Learning …, 2004	577	2004
Optimizing dialogue management with reinforcement learning: Experiments with the NJFun system S Singh, D Litman, M Kearns, M Walker Journal of Artificial Intelligence Research 16, 105-133, 2002	518	2002
Transfer of learning by composing solutions of elemental sequential tasks SP Singh Machine learning 8, 323-339, 1992	500	1992
Reinforcement Learning with Soft State Aggregation S Singh, T Jaakkola, M Jordan Neural Information Processing Systems, 1995	475	1995
Deep learning for real-time Atari game play using offline Monte-Carlo tree search planning X Guo, S Singh, H Lee, RL Lewis, X Wang Advances in neural information processing systems 27, 2014	458	2014

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