Economic Model Predictive Control as a Solution to Markov Decision Processes.
Dirk ReinhardtAkhil S. AnandShambhuraj SawantSebastien GrosPublished in: CoRR (2024)
Keyphrases
- markov decision processes
- model predictive control
- finite state
- optimal policy
- policy iteration
- dynamic programming
- state space
- finite horizon
- reinforcement learning
- transition matrices
- reinforcement learning algorithms
- decision theoretic planning
- markov decision process
- model based reinforcement learning
- average reward
- reachability analysis
- factored mdps
- planning under uncertainty
- average cost
- optimal solution
- predictive control
- policy evaluation
- state and action spaces
- action space
- probabilistic planning
- control system