Optimizing the Post-Disaster Control of Islanded Microgrid: A Multi-Agent Deep Reinforcement Learning Approach.
Huan-Huan NieYing ChenYue XiaShaowei HuangBingqian LiuPublished in: IEEE Access (2020)
Keyphrases
- reinforcement learning
- multi agent
- control problems
- optimal control
- markov decision processes
- action selection
- control policy
- state space
- adaptive control
- robot control
- reinforcement learning algorithms
- multi agent systems
- control strategy
- learning algorithm
- reinforcement learning agents
- learning agents
- control strategies
- neural network
- multiagent systems
- control system
- cooperative
- model free
- control method
- temporal difference
- dynamic environments
- decision support system
- agent oriented
- learning process
- situational awareness
- multi agent reinforcement learning
- machine learning