
Learning for Decentralized Control of Multiagent Systems in Large, Partially-Observable Stochastic Environments
Author(s) -
Miao Liu,
Christopher Amato,
E Anesta,
James Griffith,
Jonathan P. How
Publication year - 2016
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.v30i1.10135
Subject(s) - computer science , reinforcement learning , markov decision process , partially observable markov decision process , scalability , a priori and a posteriori , macro , observable , action (physics) , convergence (economics) , artificial intelligence , control (management) , mathematical optimization , markov process , machine learning , markov chain , markov model , mathematics , philosophy , statistics , physics , economic growth , epistemology , quantum mechanics , database , programming language , economics