Open AccessSample Bounded Distributed Reinforcement Learning for Decentralized POMDPs
Author(s) -
Bikramjit Banerjee,
Jeremy Lyle,
Landon Kraemer,
Rajesh Yellamraju
Publication year - 2021
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.v26i1.8260
Subject(s) - reinforcement learning , computer science , partially observable markov decision process , benchmark (surveying) , markov decision process , bounded function , mathematical optimization , sample (material) , sample complexity , computation , set (abstract data type) , artificial intelligence , markov process , markov chain , machine learning , mathematics , markov model , algorithm , mathematical analysis , statistics , chemistry , geodesy , chromatography , programming language , geography
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