Intermittently Observable Markov Decision Processes.
Gongpu ChenSoung-Chang LiewPublished in: CoRR (2023)
Keyphrases
- markov decision processes
- state space
- reinforcement learning
- finite state
- optimal policy
- policy iteration
- transition matrices
- dynamic programming
- decision theoretic planning
- reachability analysis
- planning under uncertainty
- action space
- reinforcement learning algorithms
- partially observable
- decision processes
- average reward
- infinite horizon
- factored mdps
- markov decision process
- state abstraction
- risk sensitive
- state and action spaces
- semi markov decision processes
- average cost
- expected reward
- action sets
- discounted reward