Deep Reinforcement Learning Based on Actor-Critic for Task Offloading in Vehicle Edge Computing.
Bingxin WangLei LiuJie WangPublished in: BMSB (2023)
Keyphrases
- actor critic
- reinforcement learning
- temporal difference
- reinforcement learning algorithms
- policy gradient
- function approximation
- approximate dynamic programming
- optimal control
- neuro fuzzy
- policy iteration
- gradient method
- model free
- reinforcement learning methods
- multi agent
- markov decision processes
- control problems
- policy gradient methods
- natural actor critic
- dynamic programming
- temporal difference learning
- monte carlo
- state space
- function approximators
- machine learning
- action selection
- cost function