Hierarchical Solution of Markov Decision Processes using Macro-actions.
Milos HauskrechtNicolas MeuleauLeslie Pack KaelblingThomas L. DeanCraig BoutilierPublished in: UAI (1998)
Keyphrases
- markov decision processes
- macro actions
- reinforcement learning
- policy iteration
- state space
- finite state
- optimal policy
- transition matrices
- decision theoretic planning
- decision processes
- average reward
- planning under uncertainty
- reinforcement learning algorithms
- dynamic programming
- action space
- infinite horizon
- markov decision process
- partially observable
- average cost
- optimal solution
- temporally extended
- multi agent
- machine learning