Bounded Parameter Markov Decision Processes.
Robert GivanSonia M. LeachThomas L. DeanPublished in: ECP (1997)
Keyphrases
- markov decision processes
- optimal policy
- reinforcement learning
- finite state
- transition matrices
- policy iteration
- dynamic programming
- finite horizon
- state space
- partially observable
- action space
- decision theoretic planning
- planning under uncertainty
- reinforcement learning algorithms
- decision processes
- factored mdps
- state and action spaces
- sufficient conditions
- average reward
- risk sensitive
- infinite horizon
- action sets
- model based reinforcement learning
- markov decision process
- reward function
- learning algorithm