Probabilistic hierarchical planning over MDPs.

Yuqing Tang Felipe Meneguzzi Katia P. Sycara Simon Parsons

Published in: AAMAS (2011)

Keyphrases

markov decision processes
probabilistic planning
reinforcement learning
factored mdps
state space
uncertain data
probabilistic logic
probabilistic model
optimal policy
probability theory
markov decision process
finite horizon
bayesian networks
policy iteration
decision theoretic planning