Model Predictive Control and Reinforcement Learning: A Unified Framework Based on Dynamic Programming.
Dimitri P. BertsekasPublished in: CoRR (2024)
Keyphrases
- model predictive control
- dynamic programming
- reinforcement learning
- predictive control
- control system
- state space
- optimal control
- optimal policy
- markov decision processes
- machine learning
- function approximation
- markov decision problems
- policy search
- model free
- supervised learning
- real time
- multi agent
- experimental data
- evolutionary computation
- partially observable
- action space
- learning algorithm