Multi-Agent Optimal Control for Central Chiller Plants Using Reinforcement Learning and Game Theory.
Shunian QiuZhenhai LiZhihong PangZhengwei LiYinying TaoPublished in: Syst. (2023)
Keyphrases
- optimal control
- game theory
- reinforcement learning
- multi agent
- multi agent systems
- cooperative
- game theoretic
- control problems
- multi agent learning
- dynamic programming
- nash equilibrium
- function approximation
- feedback control
- state space
- mechanism design
- infinite horizon
- resource allocation
- optimal control problems
- learning algorithm
- model free
- multiagent systems
- optimal policy
- statistical physics
- reinforcement learning algorithms
- single agent
- cooperative game theory
- autonomous agents
- fictitious play
- markov decision processes
- temporal difference
- multi agent environments
- nash equilibria
- actor critic
- machine learning
- multi agent reinforcement learning
- control strategy
- rl algorithms
- learning agents
- imperfect information
- state abstraction
- decision theory
- control law
- reinforcement learning agents
- learning problems
- data mining