Experimenting on Markov Decision Processes with Local Treatments.
Shuze ChenDavid Simchi-LeviChonghuan WangPublished in: CoRR (2024)
Keyphrases
- markov decision processes
- finite state
- state space
- dynamic programming
- policy iteration
- reinforcement learning algorithms
- optimal policy
- planning under uncertainty
- transition matrices
- average cost
- reachability analysis
- reinforcement learning
- decision theoretic planning
- infinite horizon
- risk sensitive
- decision processes
- partially observable
- state and action spaces
- model based reinforcement learning
- factored mdps
- state abstraction
- action sets
- sufficient conditions