Learning to Cooperate via Policy Search (2000)

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by Leonid Peshkin , Kee-eung Kim
Citations:131 - 4 self

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Abstract – Leonid Peshkin, Kee-eung Kim - 2001
27 Reinforcement Learning by Policy Search – Leonid Peshkin - 2000
6 A survey of model-based and model-free methods for resolving perceptual aliasing – Guy Shani - 2004
Economics of Distributed Web Search: A Machine Learning Approach – Rinat Khoussainov - 2004
4 A Bayesian Approach to Multiagent Reinforcement Learning and Coalition Formation under Uncertainty – Georgios Chalkiadakis - 2007
7 Reinforcement Learning for Problems with Hidden State – Samuel W. Hasinoff - 2003
3 Cooperation through communication in decentralized Markov games – Raghav Aras, Alain Dutech, Fran├žois Charpillet - 2004
5 Internal-state policy-gradient algorithms for partially observable Markov decision processes – Douglas Aberdeen, Jonanthan Baxter - 2002
20 Reinforcement Learning for Adaptive Routing – Leonid Peshkin, Virginia Savova - 2002
48 Learning Policies with External Memory – Leonid Peshkin, Nicolas Meuleau, Leslie Pack Kaelbling - 2001
77 Learning finite-state controllers for partially observable environments – Nicolas Meuleau, Leonid Peshkin, Kee-eung Kim, Leslie Pack Kaelbling - 1999
3 Learning Methods for Sequential Decision Making with Imperfect Representations – Shivaram Kalyanakrishnan - 2011
62 Exploiting Structure to Efficiently Solve Large Scale Partially Observable Markov Decision Processes – Pascal Poupart - 2005
58 Solving POMDPs by searching the space of finite policies – Nicolas Meuleau, Kee-eung Kim, Leslie Pack Kaelbling, Anthony R. Cassandra - 1999
21 A Survey of POMDP Solution Techniques – Kevin P. Murphy - 2000
Policy Search in Reinforcement Learning: A Survey – Ronald V. Bjarnason - 2004
153 Infinite-horizon policy-gradient estimation – Jonathan Baxter, Peter L. Bartlett - 2001
6 Approximate Solutions to Factored Markov Decision Processes via Greedy Search in the Space of Finite State Controllers – Kee-eung Kim, Thomas L. Dean, Nicolas Meuleau - 2000
Reinforcement Learning in Multiagent Systems using Game Theory Concepts – Franjo Ivancic - 2001