Michael Littman
TitleCited byYear
Reinforcement learning: A survey
LP Kaelbling, ML Littman, AW Moore
Journal of artificial intelligence research 4, 237-285, 1996
Planning and acting in partially observable stochastic domains
LP Kaelbling, ML Littman, AR Cassandra
Artificial intelligence 101 (1-2), 99-134, 1998
Markov games as a framework for multi-agent reinforcement learning
ML Littman
Machine learning proceedings 1994, 157-163, 1994
Measuring praise and criticism: Inference of semantic orientation from association
PD Turney, ML Littman
ACM Transactions on Information Systems (TOIS) 21 (4), 315-346, 2003
Activity recognition from accelerometer data
N Ravi, N Dandekar, P Mysore, ML Littman
Aaai 5 (2005), 1541-1546, 2005
Packet routing in dynamically changing networks: A reinforcement learning approach
JA Boyan, ML Littman
Advances in neural information processing systems, 671-678, 1994
Acting optimally in partially observable stochastic domains
AR Cassandra, LP Kaelbling, ML Littman
Aaai 94, 1023-1028, 1994
Learning policies for partially observable environments: Scaling up
ML Littman, AR Cassandra, LP Kaelbling
Machine Learning Proceedings 1995, 362-370, 1995
Interactions between learning and evolution
D Ackley, M Littman
Artificial life II 10, 487-509, 1991
Graphical models for game theory
M Kearns, ML Littman, S Singh
arXiv preprint arXiv:1301.2281, 2013
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
On the complexity of solving Markov decision problems
ML Littman, TL Dean, LP Kaelbling
Proceedings of the Eleventh conference on Uncertainty in artificial …, 1995
Incremental pruning: A simple, fast, exact method for partially observable Markov decision processes
A Cassandra, ML Littman, NL Zhang
Proceedings of the Thirteenth conference on Uncertainty in artificial …, 1997
Computerized cross-language document retrieval using latent semantic indexing
TK Landauer, ML Littman
US Patent 5,301,109, 1994
Friend-or-foe Q-learning in general-sum games
ML Littman
ICML 1, 322-328, 2001
Predictive representations of state
ML Littman, RS Sutton
Advances in neural information processing systems, 1555-1561, 2002
Algorithms for sequential decision making
ML Littman
Brown University, 1996
Unsupervised learning of semantic orientation from a hundred-billion-word corpus
PD Turney, ML Littman
arXiv preprint cs/0212012, 2002
Value-function reinforcement learning in Markov games
ML Littman
Cognitive Systems Research 2 (1), 55-66, 2001
PAC model-free reinforcement learning
AL Strehl, L Li, E Wiewiora, J Langford, ML Littman
Proceedings of the 23rd international conference on Machine learning, 881-888, 2006
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Articles 1–20