Monitored Markov Decision Processes.
Simone ParisiMontaser MohammedalamenAlireza KazemipourMatthew E. TaylorMichael BowlingPublished in: AAMAS (2024)
Keyphrases
- markov decision processes
- state space
- optimal policy
- dynamic programming
- transition matrices
- finite state
- reachability analysis
- reinforcement learning
- reinforcement learning algorithms
- model based reinforcement learning
- policy iteration
- infinite horizon
- average cost
- partially observable
- planning under uncertainty
- factored mdps
- finite horizon
- action space
- risk sensitive
- decision processes
- state and action spaces
- reward function
- markov decision process
- average reward
- state abstraction
- heuristic search