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Fuzzy reinforcement learning control for decentralized partially observable Markov decision processes.
Rajneesh Sharma
Matthijs T. J. Spaan
Published in:
FUZZ-IEEE (2011)
Keyphrases
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reinforcement learning
partially observable markov decision processes
continuous state
dec pomdps
optimal policy
partially observable domains
multi agent
markov decision processes
finite state
partially observable
optimal control
decentralized control
hidden state
policy search
partially observable environments
planning under uncertainty
function approximation
state space
control policy
belief state
partial observability
partially observable stochastic games
fully observable
action selection
dynamical systems
reinforcement learning algorithms
policy gradient
control system
belief space
average reward
temporal difference
stochastic domains
actor critic
decision problems
dynamic programming
machine learning
state action
control policies
action space