Multi-actor mechanism for actor-critic reinforcement learning.
Lin LiYuze LiWei WeiYujia ZhangJiye LiangPublished in: Inf. Sci. (2023)
Keyphrases
- actor critic
- reinforcement learning
- reinforcement learning algorithms
- policy gradient
- temporal difference
- optimal control
- approximate dynamic programming
- neuro fuzzy
- function approximation
- gradient method
- policy iteration
- state space
- model free
- natural actor critic
- supervised learning
- temporal difference learning
- policy gradient methods
- neural network
- markov decision processes
- control problems
- control policy
- average reward
- learning problems
- reinforcement learning methods
- rl algorithms
- optimal policy
- dynamic programming
- learning algorithm
- machine learning
- markov decision process
- recursive least squares
- multi agent