Model-free and Bayesian Ensembling Model-based Deep Reinforcement Learning for Particle Accelerator Control Demonstrated on the FERMI FEL.
Simon HirlaenderNiky BruchonPublished in: CoRR (2020)
Keyphrases
- model free
- reinforcement learning
- impedance control
- control problems
- reinforcement learning algorithms
- function approximation
- policy iteration
- temporal difference
- optimal control
- adaptive control
- learning algorithm
- control strategies
- state space
- average reward
- control system
- action selection
- control strategy
- learning problems
- function approximators
- reinforcement learning methods
- rl algorithms
- policy evaluation
- genetic algorithm
- control method
- optimal policy
- linear combination
- machine learning