Model-Free Incremental Adaptive Dynamic Programming Based Approximate Robust Optimal Regulation.
Cong LiYongchao WangFangzhou LiuQingchen LiuMartin BussPublished in: CoRR (2021)
Keyphrases
- model free
- dynamic programming
- reinforcement learning
- policy evaluation
- piecewise linear
- state space
- reinforcement learning algorithms
- optimal control
- function approximation
- policy iteration
- markov decision processes
- temporal difference
- average reward
- optimal policy
- least squares
- adaptive control
- learning algorithm