Decentralized Markov Decision Processes with Event-Driven Interactions.

Raphen Becker Shlomo Zilberstein Victor R. Lesser

Published in: AAMAS (2004)

Keyphrases

markov decision processes
event driven
decentralized control
state space
finite state
optimal policy
decision theoretic planning
transition matrices
policy iteration
reinforcement learning

dynamic programming
infinite horizon
average cost
planning under uncertainty
distributed systems
real time
model based reinforcement learning
decision processes
reinforcement learning algorithms

state and action spaces
reachability analysis
state abstraction
markov decision process
real time dynamic programming
average reward
action space
finite horizon
partially observable

markup language
peer to peer
multi agent
risk sensitive
dec pomdps
factored mdps
discounted reward
partially observable markov decision processes
learning algorithm