Deep Reinforcement Learning-Based Battery Conditioning Hierarchical V2G Coordination for Multi-Stakeholder Benefits.
Yubao ZhangXin ChenYi GuZhicheng LiWu KaiPublished in: CoRR (2023)
Keyphrases
- reinforcement learning
- multi agent reinforcement learning
- multi agent
- cooperative
- multi agent systems
- function approximation
- markov decision processes
- coarse to fine
- hierarchical reinforcement learning
- multiagent learning
- power consumption
- information sharing
- unsupervised learning
- learning problems
- learning algorithm
- learning classifier systems
- multiple agents
- temporal difference
- reinforcement learning algorithms
- multiple layers
- dynamic environments
- hierarchical models
- policy search
- state space
- battery powered