Prioritized Goal Decomposition of Markov Decision Processes: Toward a Synthesis of Classical and Decision Theoretic Planning.
Craig BoutilierRonen I. BrafmanChristopher W. GeibPublished in: IJCAI (1997)
Keyphrases
- decision theoretic planning
- markov decision processes
- temporally extended
- reinforcement learning
- finite state
- optimal policy
- probabilistic planning
- state space
- policy iteration
- planning under uncertainty
- dynamic programming
- partially observable
- average cost
- action space
- finite horizon
- average reward
- reinforcement learning algorithms
- search space
- decision processes
- dec pomdps
- efficient computation