Open AccessPruning for Monte Carlo Distributed Reinforcement Learning in Decentralized POMDPs
Author(s) -
Bikramjit Banerjee
Publication year - 2013
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v27i1.8670
Subject(s) - reinforcement learning , computer science , markov decision process , monte carlo tree search , partially observable markov decision process , bellman equation , monte carlo method , benchmark (surveying) , pruning , mathematical optimization , computation , sample (material) , artificial intelligence , observable , markov process , machine learning , markov chain , algorithm , mathematics , markov model , chemistry , biology , geodesy , chromatography , agronomy , statistics , geography , quantum mechanics , physics
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