REPAINT: Knowledge Transfer in Deep Actor-Critic Reinforcement Learning.
Yunzhe TaoSahika GencTao SunSunil MallyaPublished in: CoRR (2020)
Keyphrases
- knowledge transfer
- actor critic
- reinforcement learning
- transfer learning
- temporal difference
- policy gradient
- optimal control
- approximate dynamic programming
- reinforcement learning algorithms
- function approximation
- knowledge sharing
- gradient method
- learning tasks
- neuro fuzzy
- policy iteration
- state space
- temporal difference learning
- learning algorithm
- model free
- dynamic programming
- multi agent
- machine learning
- rl algorithms
- markov decision processes
- partially observable
- supervised learning
- evaluation function
- optimal policy
- unsupervised learning
- reinforcement learning methods
- policy gradient methods