Multi-Agent Deep Reinforcement Learning Based on Actor-Critic for Task Offloading.
Bingxin WangXueqi YuanYuqing ChaiPublished in: BMSB (2024)
Keyphrases
- actor critic
- reinforcement learning
- multi agent
- policy gradient
- reinforcement learning algorithms
- temporal difference
- function approximation
- single agent
- state space
- approximate dynamic programming
- model free
- multi agent systems
- control problems
- optimal control
- learning algorithm
- policy iteration
- machine learning
- markov decision processes
- gradient method
- neuro fuzzy
- transfer learning
- partially observable markov decision processes
- temporal difference learning
- reinforcement learning methods
- rl algorithms
- policy gradient methods
- action selection
- long run
- linear program
- function approximators
- control policy
- natural actor critic