Learning Representation and Control in Continuous Markov Decision Processes.
Sridhar MahadevanMauro MaggioniKimberly FergusonSarah OsentoskiPublished in: AAAI (2006)
Keyphrases
- markov decision processes
- reinforcement learning
- decision theoretic planning
- learning tasks
- model based reinforcement learning
- stochastic games
- learning algorithm
- optimal policy
- finite state
- state space
- real time dynamic programming
- action space
- continuous state spaces
- transition matrices
- finite horizon
- planning under uncertainty
- decentralized control
- macro actions
- reachability analysis