Federated Multi-Agent Deep Reinforcement Learning Approach via Physics-Informed Reward for Multi-Microgrid Energy Management.
Yuanzheng LiShangyang HeYang LiYang ShiZhigang ZengPublished in: CoRR (2023)
Keyphrases
- reinforcement learning
- energy management
- multi agent
- power consumption
- energy saving
- power saving
- state space
- learning algorithm
- energy efficiency
- markov decision processes
- model free
- reinforcement learning algorithms
- optimal policy
- intelligent agents
- reward function
- multi agent systems
- transfer learning
- energy consumption
- smart home
- activity recognition
- learning agent
- electric vehicles
- policy gradient
- data sources