On Improving the Robustness of Reinforcement Learning-based Controllers using Disturbance Observer.
Jeong Woo KimHyungbo ShimInsoon YangPublished in: CDC (2019)
Keyphrases
- reinforcement learning
- function approximation
- reinforcement learning algorithms
- learning algorithm
- state space
- multi agent
- temporal difference
- optimal control
- optimal policy
- reinforcement learning methods
- temporal difference learning
- adaptive control
- control system
- machine learning
- learning problems
- supervised learning
- model free
- learning process
- learning environment
- decision trees
- learning capabilities
- data sets