Teaching Reinforcement Learning Agents via Reinforcement Learning.
Kun YangChengshuai ShiCong ShenPublished in: CISS (2023)
Keyphrases
- probability distribution
- reinforcement learning agents
- reinforcement learning
- state abstraction
- dynamic environments
- learning process
- multi agent
- learning environment
- function approximation
- transfer learning
- state space
- learning algorithm
- machine learning
- temporal difference
- e learning
- multi agent environments
- markov chain
- markov decision processes
- supervised learning
- action selection
- reinforcement learning algorithms
- function approximators
- reinforcement learning methods
- dynamic programming