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Learning for Decentralized Control of Multiagent Systems in Large, Partially-Observable Stochastic Environments.
Miao Liu
Christopher Amato
Emily P. Anesta
John Daniel Griffith
Jonathan P. How
Published in:
AAAI (2016)
Keyphrases
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multiagent systems
decentralized control
partially observable
markov decision processes
reinforcement learning
multi agent
learning agents
learning algorithm
multi agent systems
decision problems
belief state
smart grid
state space
infinite horizon
markov decision process