Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation.
Xiaoyu ChenHan ZhongZhuoran YangZhaoran WangLiwei WangPublished in: ICML (2022)
Keyphrases
- function approximation
- reinforcement learning
- temporal difference
- tile coding
- function approximators
- temporal difference learning algorithms
- learning tasks
- temporal difference learning
- reinforcement learning algorithms
- model free
- state action space
- mountain car
- radial basis function
- state space
- markov decision processes
- temporal difference methods
- learning algorithm
- data mining
- td learning
- optimal policy
- machine learning