Satinder Singh

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Richard S. SuttonDeepMind, Amii, and University of AlbertaAdresse e-mail validée de richsutton.com
Richard L. LewisProfessor of Psychology, Linguistics and Cognitive Science, University of MichiganAdresse e-mail validée de umich.edu
Michael KearnsProfessor of Computer Science, University of PennsylvaniaAdresse e-mail validée de cis.upenn.edu
Andrew BartoUniversity of Massachusetts AmherstAdresse e-mail validée de cs.umass.edu
Doina PrecupDeepMind and McGill UniversityAdresse e-mail validée de cs.mcgill.ca
Junhyuk OhResearch Scientist, DeepMindAdresse e-mail validée de google.com
Michael LittmanBrown UniversityAdresse e-mail validée de brown.edu
Yishay MansourTel Aviv UniversityAdresse e-mail validée de tauex.tau.ac.il
Honglak LeeLG AI Research / U. MichiganAdresse e-mail validée de umich.edu
David McAllesterProfessor, Toyota Technological Institute at ChicagoAdresse e-mail validée de ttic.edu
Tommi JaakkolaMITAdresse e-mail validée de csail.mit.edu
Michael WellmanProfessor of Computer Science & Engineering, University of MichiganAdresse e-mail validée de umich.edu
Yevgeniy VorobeychikWashington University in Saint LouisAdresse e-mail validée de wustl.edu
David SilverDeepMind, UCLAdresse e-mail validée de google.com
Edmund DurfeeProfessor Emeritus of Computer Science and Engineering, University of MichiganAdresse e-mail validée de umich.edu
Marilyn WalkerProfessor of Computer Science and Engineering, University of California Santa CruzAdresse e-mail validée de ucsc.edu
Diane LitmanUniversity of PittsburghAdresse e-mail validée de cs.pitt.edu
Xiaoxiao GuoFacebookAdresse e-mail validée de fb.com
Nan JiangAssistant Professor of Computer Science, UIUCAdresse e-mail validée de illinois.edu
Peter StoneProfessor of Computer Science, The University of Texas at AustinAdresse e-mail validée de cs.utexas.edu

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Satinder Singh

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	5532	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	3385	1999
Learning to act using real-time dynamic programming AG Barto, SJ Bradtke, SP Singh Artificial intelligence 72 (1-2), 81-138, 1995	1550	1995
Near-optimal reinforcement learning in polynomial time M Kearns, S Singh Machine learning 49 (2), 209-232, 2002	1121	2002
Convergence of stochastic iterative dynamic programming algorithms T Jaakkola, M Jordan, S Singh Advances in neural information processing systems 6, 1993	1103	1993
Reinforcement learning with replacing eligibility traces SP Singh, RS Sutton Machine learning 22 (1), 123-158, 1996	922	1996
Convergence results for single-step on-policy reinforcement-learning algorithms S Singh, T Jaakkola, ML Littman, C Szepesvári Machine learning 38 (3), 287-308, 2000	859	2000
Intrinsically motivated reinforcement learning N Chentanez, A Barto, S Singh Advances in neural information processing systems 17, 2004	851	2004
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	824	2015
Graphical models for game theory M Kearns, ML Littman, S Singh arXiv preprint arXiv:1301.2281, 2013	755	2013
Eligibility traces for off-policy policy evaluation D Precup, R Sutton, S Singh Computer Science Department Faculty Publication Series, 80, 2000	656	2000
Predictive representations of state ML Littman, RS Sutton, S Singh Advances in neural information processing systems, 1555-1561, 2002	642	2002
Learning without state-estimation in partially observable Markovian decision processes SP Singh, T Jaakkola, MI Jordan Machine Learning Proceedings 1994, 284-292, 1994	549	1994
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	513	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	481	2002
Transfer of learning by composing solutions of elemental sequential tasks SP Singh Machine Learning 8 (3), 323-339, 1992	457	1992
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	454	2010
Reinforcement Learning with Soft State Aggregation S Singh, T Jaakkola, M Jordan Neural Information Processing Systems, 1995	410	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	388	2014
Nash Convergence of Gradient Dynamics in General-Sum Games. S Singh, MJ Kearns, Y Mansour UAI, 541-548, 2000	357	2000

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