Quantile Markov Decision Processes.
Xiaocheng LiHuaiyang ZhongMargaret L. BrandeauPublished in: Oper. Res. (2022)
Keyphrases
- markov decision processes
- state space
- finite state
- dynamic programming
- optimal policy
- policy iteration
- risk sensitive
- transition matrices
- reinforcement learning algorithms
- factored mdps
- average cost
- state and action spaces
- finite horizon
- planning under uncertainty
- reinforcement learning
- reachability analysis
- decision processes
- partially observable
- decision theoretic planning
- average reward
- infinite horizon
- model based reinforcement learning
- markov decision process
- real time dynamic programming
- evaluation function
- data mining