Gradient Temporal-Difference Learning with Regularized Corrections.
Sina GhiassianAndrew PattersonShivam GargDhawal GuptaAdam WhiteMartha WhitePublished in: CoRR (2020)
Keyphrases
- temporal difference learning
- function approximation
- fixed point
- game playing
- reinforcement learning
- evaluation function
- approximate value iteration
- temporal difference
- least squares
- reinforcement learning algorithms
- markov decision process
- policy iteration
- monte carlo
- markov decision processes
- model free
- semi supervised
- objective function