Probabilistic Safety Guarantees for Markov Decision Processes.
Rafal WisniewskiManuela-Luminita BujorianuPublished in: IEEE Trans. Autom. Control. (2023)
Keyphrases
- markov decision processes
- optimal policy
- finite state
- reinforcement learning
- transition matrices
- state space
- policy iteration
- dynamic programming
- probabilistic planning
- planning under uncertainty
- reinforcement learning algorithms
- reachability analysis
- finite horizon
- average reward
- decision theoretic planning
- markov decision process
- action space
- reward function
- bayesian networks
- factored mdps
- model based reinforcement learning
- partially observable
- risk sensitive
- average cost
- infinite horizon
- decision processes
- generative model
- initial state
- probabilistic model
- long run
- multistage
- state and action spaces
- action sets
- linear programming
- search algorithm
- real time dynamic programming