Sustainable ℓ2-regularized actor-critic based on recursive least-squares temporal difference learning.
Luntong LiDazi LiTianheng SongPublished in: SMC (2017)
Keyphrases
- actor critic
- reinforcement learning
- policy gradient
- optimal control
- temporal difference
- approximate dynamic programming
- neuro fuzzy
- gradient method
- policy iteration
- reinforcement learning algorithms
- function approximation
- least squares
- multi agent
- objective function
- average reward
- recursive least squares
- variance reduction
- machine learning
- temporal difference learning
- neural network
- markov decision processes
- monte carlo
- dynamic programming