Reinforcement Learning-based Energy Trading for Microgrids.
Liang XiaoXingyu XiaoCanhuang DaiMugen PengLichun WangH. Vincent PoorPublished in: CoRR (2018)
Keyphrases
- reinforcement learning
- energy consumption
- low energy
- reinforcement learning algorithms
- energy minimization
- minimum energy
- state space
- electronic commerce
- model free
- robotic control
- financial markets
- optimal control
- neural network
- optimal policy
- function approximators
- policy search
- stochastic approximation
- machine learning
- learning algorithm
- temporal difference learning
- energy saving
- function approximation
- multi agent
- transfer learning
- learning process
- temporal difference
- action selection
- failure modes
- autonomous learning
- data sets