Multi-Agent Reinforcement Learning With Privacy Preservation for Continuous Double Auction-Based P2P Energy Trading.
Jiehui ZhengZe-Ting LiangYuanzheng LiZhigang LiQinghua WuPublished in: IEEE Trans. Ind. Informatics (2024)
Keyphrases
- multi agent reinforcement learning
- double auction
- privacy preservation
- learning agents
- privacy preserving
- data privacy
- multi agent
- peer to peer
- software agents
- data sharing
- reinforcement learning
- mechanism design
- complex environments
- data quality
- privacy protection
- sensitive information
- data mining
- privacy preserving data mining
- multiagent systems
- learning agent
- autonomous agents
- electronic commerce
- sensitive data
- agent oriented
- multi agent systems
- real world
- data warehouse
- multi agent learning
- decision making
- cooperative
- bidding strategies
- dynamic environments
- third party