Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach.
Yingying LiYujie TangRunyu ZhangNa LiPublished in: CoRR (2019)
Keyphrases
- derivative free
- optimal control
- linear quadratic
- reinforcement learning
- unconstrained optimization
- neural learning
- gradient method
- optimization methods
- closed loop
- control system
- control strategy
- neural network
- optimization problems
- dynamic programming
- optimization method
- dynamical systems
- optimization algorithm
- constrained optimization
- trust region
- fan beam
- machine learning
- vector valued
- multiresolution
- support vector