Satinder Singh

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Michael KearnsProfessor of Computer Science, University of PennsylvaniaAdresse e-mail validée de cis.upenn.edu
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
Andrew BartoUniversity of Massachusetts AmherstAdresse e-mail validée de cs.umass.edu
Doina PrecupDeepMind and McGill UniversityAdresse e-mail validée de cs.mcgill.ca
Michael LittmanBrown UniversityAdresse e-mail validée de brown.edu
Junhyuk OhResearch Scientist, DeepMindAdresse e-mail validée de google.com
Honglak LeeLG AI Research / U. MichiganAdresse e-mail validée de umich.edu
Yishay MansourTel Aviv UniversityAdresse e-mail validée de tau.ac.il
Tommi JaakkolaMITAdresse e-mail validée de csail.mit.edu
David McAllesterProfessor, Toyota Technological Institute at ChicagoAdresse e-mail validée de ttic.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
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyAdresse e-mail validée de cs.berkeley.edu
Peter StoneProfessor of Computer Science, The University of Texas at AustinAdresse e-mail validée de cs.utexas.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
Michael R JamesWaymoAdresse e-mail validée de waymo.com
Edmund DurfeeProfessor of Computer Science and Engineering, University of MichiganAdresse e-mail validée de umich.edu
Christopher KiekintveldUniversity of Texas at El PasoAdresse e-mail validée de utep.edu

Satinder Singh

Computer Science and Engineering, University 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	4340	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	2867	1999
Learning to act using real-time dynamic programming AG Barto, SJ Bradtke, SP Singh Artificial intelligence 72 (1-2), 81-138, 1995	1510	1995
Near-optimal reinforcement learning in polynomial time M Kearns, S Singh Machine learning 49 (2), 209-232, 2002	1045	2002
On the convergence of stochastic iterative dynamic programming algorithms T Jaakkola, MI Jordan, SP Singh Neural computation 6 (6), 1185-1201, 1994	982	1994
Reinforcement learning with replacing eligibility traces SP Singh, RS Sutton Machine learning 22 (1), 123-158, 1996	887	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	784	2000
Intrinsically motivated reinforcement learning S Singh, AG Barto, N Chentanez MASSACHUSETTS UNIV AMHERST DEPT OF COMPUTER SCIENCE, 2005	742	2005
Graphical models for game theory M Kearns, ML Littman, S Singh arXiv preprint arXiv:1301.2281, 2013	722	2013
Action-conditional video prediction using deep networks in atari games J Oh, X Guo, H Lee, R Lewis, S Singh arXiv preprint arXiv:1507.08750, 2015	702	2015
Predictive representations of state ML Littman, RS Sutton, S Singh Advances in neural information processing systems, 1555-1561, 2002	604	2002
Eligibility traces for off-policy policy evaluation D Precup, R Sutton, S Singh Computer Science Department Faculty Publication Series, 80, 2000	514	2000
Learning without state-estimation in partially observable Markovian decision processes SP Singh, T Jaakkola, MI Jordan Machine Learning Proceedings 1994, 284-292, 1994	507	1994
Reinforcement learning algorithm for partially observable Markov decision problems T Jaakkola, SP Singh, MI Jordan Advances in neural information processing systems, 345-352, 1995	496	1995
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	468	2004
Transfer of learning by composing solutions of elemental sequential tasks SP Singh Machine Learning 8 (3), 323-339, 1992	451	1992
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	436	2002
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	389	2010
Reinforcement Learning with Soft State Aggregation S Singh, T Jaakkola, M Jordan Neural Information Processing Systems, 1995	376*	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, 3338-3346, 2014	362	2014

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