Reinforcement Learning for Constrained Energy Trading Games With Incomplete Information.
Huiwei WangTingwen HuangXiaofeng LiaoHaitham Abu-RubGuo ChenPublished in: IEEE Trans. Cybern. (2017)
Keyphrases
- games with incomplete information
- reinforcement learning
- stochastic games
- reinforcement learning algorithms
- function approximation
- markov decision processes
- model free
- state space
- machine learning
- learning automata
- average reward
- multi agent
- optimal policy
- supervised learning
- neural network
- cooperative
- learning capabilities
- electricity markets
- markov decision process
- learning agent