A Novel Energy Management Strategy Based on Dual Reward Function Q-learning for Fuel Cell Hybrid Electric Vehicle.
Yuxiang ZhangRui MaDongdong ZhaoYigeng HuangfuWeiguo LiuPublished in: IEEE Trans. Ind. Electron. (2022)
Keyphrases
- reward function
- fuel cell
- electric vehicles
- reinforcement learning algorithms
- reinforcement learning
- state space
- markov decision processes
- renewable energy
- fault detection
- multiple agents
- optimal policy
- hierarchical reinforcement learning
- inverse reinforcement learning
- transition probabilities
- learning agent
- energy consumption
- state variables
- model free
- state action
- markov decision process
- random walk
- neural network
- markov chain
- smart grid
- machine learning
- data mining
- bayesian networks
- average reward
- computational intelligence
- function approximation
- fault diagnosis
- power system