Evidential Markov Decision Processes.
Hélène SoubarasChristophe LabreuchePierre SavéantPublished in: ECSQARU (2011)
Keyphrases
- markov decision processes
- state space
- finite state
- optimal policy
- policy iteration
- dynamic programming
- transition matrices
- factored mdps
- decision theoretic planning
- belief functions
- average reward
- reinforcement learning
- reachability analysis
- planning under uncertainty
- decision processes
- average cost
- action space
- finite horizon
- risk sensitive
- reinforcement learning algorithms
- partially observable
- discounted reward
- model based reinforcement learning
- reward function
- markov decision process
- action sets