Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation.
Dan QiaoYu-Xiang WangPublished in: CoRR (2022)
Keyphrases
- function approximation
- reinforcement learning
- temporal difference learning algorithms
- function approximators
- temporal difference
- model free
- reinforcement learning algorithms
- temporal difference learning
- state space
- machine learning
- mountain car
- learning algorithm
- state action space
- learning tasks
- markov decision processes
- optimal control
- multi agent
- td learning
- policy gradient
- supervised learning
- reinforcement learning methods
- learning process
- continuous state
- radial basis function
- average reward
- partially observable
- optimal policy
- transfer learning
- artificial neural networks
- temporal difference methods
- action selection
- feature selection
- exploration exploitation tradeoff