Collaborative Optimization of Multi-microgrids System with Shared Energy Storage Based on Multi-agent Stochastic Game and Reinforcement Learning.
Yijian WangYang CuiYang LiYang XuPublished in: CoRR (2023)
Keyphrases
- reinforcement learning
- multi agent
- direct policy search
- stochastic optimization
- cooperative
- american football
- function approximation
- stochastic programming
- monte carlo
- optimization algorithm
- multi agent simulation
- optimal control problems
- optimal control
- multi agent reinforcement learning
- reinforcement learning agents
- stochastic approximation
- energy consumption
- game theory
- multi agent systems
- optimization problems
- temporal difference learning
- machine learning
- optimal policy
- video games
- computer games
- energy minimization
- multiagent systems
- learning agents
- state space
- stochastic games
- robust optimization
- knowledge sharing
- game theoretic
- game playing
- leader follower
- multi user
- data storage
- file system
- collaborative learning
- learning algorithm
- team formation
- learning process
- dynamic programming
- single agent
- game design
- educational games
- resource allocation