Finding good stochastic factored policies for factored Markov decision processes.

Julia Radoszycki Nathalie Peyrard Régis Sabbadin

Published in: ECAI (2014)

Keyphrases

factored markov decision processes
markov decision problems
state space
linear programming
optimal policy
partially observable
reinforcement learning
decision processes
dynamic programming
utility function
decision problems
decision theoretic
state transition
bayesian networks
transition probabilities