On Reward-Free Reinforcement Learning with Linear Function Approximation.
Ruosong WangSimon S. DuLin F. YangRuslan SalakhutdinovPublished in: CoRR (2020)
Keyphrases
- function approximation
- reinforcement learning
- temporal difference learning algorithms
- function approximators
- temporal difference
- temporal difference learning
- state space
- reinforcement learning algorithms
- model free
- mountain car
- markov decision processes
- learning process
- radial basis function
- policy gradient
- multi agent
- machine learning
- transfer learning
- optimal policy
- reward function
- supervised learning
- dynamic programming
- learning algorithm
- learning tasks
- learning agent
- average reward
- state action
- markov decision problems
- actor critic
- neural network