Safe Reinforcement Learning with Chance-constrained Model Predictive Control.
Samuel PfrommerTanmay GautamAlec ZhouSomayeh SojoudiPublished in: L4DC (2022)
Keyphrases
- chance constrained
- model predictive control
- reinforcement learning
- stochastic programming
- control system
- predictive control
- robust optimization
- knapsack problem
- computationally tractable
- chance constrained programming
- chance constraints
- reverse logistics
- multistage
- state space
- learning algorithm
- control scheme
- optimal policy
- np hard
- third party
- multiple models
- real time
- markov decision processes
- optimal solution
- machine learning
- neural network