Causally Deterministic Markov Decision Processes.
S. AkshayTobias MeggendorferP. S. ThiagarajanPublished in: CONCUR (2024)
Keyphrases
- markov decision processes
- state space
- optimal policy
- finite state
- policy iteration
- transition matrices
- stationary policies
- reinforcement learning
- dynamic programming
- decision theoretic planning
- average cost
- finite horizon
- markov decision process
- planning under uncertainty
- reachability analysis
- partially observable
- infinite horizon
- risk sensitive
- decision processes
- reinforcement learning algorithms
- action sets
- reward function
- factored mdps
- model based reinforcement learning
- action space
- linear program