A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning.
Zixiang ChenChris Junchi LiAngela YuanQuanquan GuMichael I. JordanPublished in: CoRR (2022)
Keyphrases
- function approximation
- reinforcement learning
- temporal difference
- function approximators
- temporal difference learning
- state action space
- learning tasks
- radial basis function
- model free
- reinforcement learning algorithms
- mountain car
- tile coding
- temporal difference learning algorithms
- multi agent
- state space
- machine learning
- td learning