Nash Q-learning based equilibrium transfer for integrated energy management game with We-Energy.
Lingxiao YangQiuye SunDazhong MaQinglai WeiPublished in: Neurocomputing (2020)
Keyphrases
- energy management
- nash equilibrium
- game theory
- nash equilibria
- equilibrium strategies
- game theoretic
- cooperative
- energy saving
- power consumption
- energy efficiency
- power saving
- solution concepts
- mixed strategy
- reinforcement learning
- smart home
- energy consumption
- repeated games
- learning algorithm
- stochastic games
- multi agent
- incomplete information
- transfer learning
- electric vehicles
- resource allocation
- computer simulation
- machine learning
- energy efficient
- artificial intelligence
- wireless sensor networks