On Reward-Free Reinforcement Learning with Linear Function Approximation.
Ruosong WangSimon S. DuLin F. YangRuss R. SalakhutdinovPublished in: NeurIPS (2020)
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
- continuous state
- reinforcement learning methods
- learning algorithm
- markov decision processes
- supervised learning
- transfer learning
- artificial neural networks
- policy search
- markov decision problems
- optimal policy
- action space
- learning process
- dynamic programming
- optimal control
- policy gradient
- radial basis function
- temporal difference methods
- neural network