Stability-Constrained Markov Decision Processes Using MPC.
Mario ZanonSébastien GrosMichele PalladinoPublished in: CoRR (2021)
Keyphrases
- markov decision processes
- state space
- finite state
- dynamic programming
- optimal policy
- reinforcement learning
- transition matrices
- decision theoretic planning
- policy iteration
- factored mdps
- average cost
- infinite horizon
- risk sensitive
- reachability analysis
- markov decision process
- planning under uncertainty
- action sets
- finite horizon
- model based reinforcement learning
- average reward
- partially observable
- reinforcement learning algorithms
- decision processes
- optimal control
- action space
- markov decision problems
- decision diagrams
- state abstraction
- closed loop
- objective function