Safe Reinforcement Learning with Chance-constrained Model Predictive Control.
Samuel PfrommerTanmay GautamAlec ZhouSomayeh SojoudiPublished in: CoRR (2021)
Keyphrases
- chance constrained
- model predictive control
- reinforcement learning
- stochastic programming
- control system
- predictive control
- robust optimization
- knapsack problem
- computationally tractable
- reverse logistics
- chance constraints
- chance constrained programming
- markov decision processes
- multistage
- linear program
- learning algorithm
- dynamic programming
- third party
- real time
- machine learning
- optimal policy
- neural network
- control scheme
- computational intelligence
- fuzzy logic
- mathematical programming
- fuzzy control
- power plant
- network design
- decision makers
- artificial intelligence