most citedHuman-like Energy Management Based on Deep Reinforcement Learning and Historical Driving Experiences

18 citations · 80 across the 16 of their papers we have counts for

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eess.SY2020★ 1 cited

Adaptive Energy Management for Real Driving Conditions via Transfer Reinforcement Learning

Teng Liu, Wenhao Tan, Xiaolin Tang +2

This article proposes a transfer reinforcement learning (RL) based adaptive energy managing approach for a hybrid electric vehicle (HEV) with parallel topology. This approach is bi…

eess.SY2020★ 18 cited

Human-like Energy Management Based on Deep Reinforcement Learning and Historical Driving Experiences

Hao Chen, Xiaolin Tang, Guo Hu +1

Development of hybrid electric vehicles depends on an advanced and efficient energy management strategy (EMS). With online and real-time requirements in mind, this article presents…