Federated Multiagent Deep Reinforcement Learning Approach via Physics-Informed Reward for Multimicrogrid Energy Management.
Yuanzheng LiShangyang HeYang LiYang ShiZhigang ZengPublished in: IEEE Trans. Neural Networks Learn. Syst. (2024)
Keyphrases
- learning agent
- energy management
- reinforcement learning
- multi agent
- single agent
- stochastic games
- power consumption
- reinforcement learning algorithms
- state space
- multi agent systems
- learning algorithm
- power saving
- multiagent systems
- electric vehicles
- energy saving
- energy efficiency
- smart home
- intelligent agents
- computer science
- reward function
- multiple agents
- model free
- artificial intelligence
- distributed systems
- optimal policy
- markov decision processes
- energy efficient
- data sources
- average reward
- energy consumption
- real time
- computer simulation
- activity recognition