Posterior Sampling-Based Reinforcement Learning for Control of Unknown Linear Systems.
Yi OuyangMukul GagraniRahul JainPublished in: IEEE Trans. Autom. Control. (2020)
Keyphrases
- linear systems
- control theory
- reinforcement learning
- sufficient conditions
- dynamical systems
- linear equations
- optimal control
- coefficient matrix
- control policy
- sparse linear systems
- control system
- control method
- monte carlo
- particle swarm optimization
- state space
- global optimization
- posterior probability
- experimental data
- multi objective
- neural network