Percentile optimization in uncertain Markov decision processes with application to efficient exploration.

Erick Delage Shie Mannor

Published in: ICML (2007)

Keyphrases

markov decision processes
state space
optimal policy
finite state
reinforcement learning
decision theoretic planning

dynamic programming
planning under uncertainty
markov decision process
average cost
factored mdps
decision making

policy iteration
transition matrices
reinforcement learning algorithms
heuristic search
sufficient conditions

multi agent
machine learning
action sets
model based reinforcement learning
data mining