Reinforcement Learning Approach to Design Practical Adaptive Control for a Small-Scale Intelligent Vehicle. - Bo Hu 016; Jiaxi Li; Jie Yang; Haitao Bai; Shuang Li; Youchang Sun; Xiaoyu Yang (Symmetry, 2019)

An Edge Computing Framework for Powertrain Control System Optimization of Intelligent and Connected Vehicles Based on Curiosity-Driven Deep Reinforcement Learning. - Bo Hu 016; Jiaxi Li (IEEE Trans. Ind. Electron., 2021)

Shifting Deep Reinforcement Learning Algorithm Toward Training Directly in Transient Real-World Environment: A Case Study in Powertrain Control. - Bo Hu 016; Jiaxi Li (IEEE Trans. Ind. Informatics, 2021)

A Deployment-Efficient Energy Management Strategy for Connected Hybrid Electric Vehicle Based on Offline Reinforcement Learning. - Bo Hu 016; Jiaxi Li (IEEE Trans. Ind. Electron., 2022)

A Data-Driven Solution for Energy Management Strategy of Hybrid Electric Vehicles Based on Uncertainty-Aware Model-Based Offline Reinforcement Learning. - Bo Hu 016; Yang Xiao; Sunan Zhang; Bocheng Liu (IEEE Trans. Ind. Informatics, 2023)

A Data-Driven Reinforcement Learning Based Energy Management Strategy via Bridging Offline Initialization and Online Fine-Tuning for a Hybrid Electric Vehicle. - Bo Hu 016; Bocheng Liu; Sunan Zhang (IEEE Trans. Ind. Electron., 2024)

A knowledge-guided reinforcement learning method for lateral path tracking. - Bo Hu 016; Sunan Zhang; Yuxiang Feng; Bingbing Li; Hao Sun 029; Mingyang Chen; Weichao Zhuang; Yi Zhang 032 (Eng. Appl. Artif. Intell., 2025)

An uncertainty-aware safe-evolving reinforcement learning algorithm for decision-making and control in highway autonomous driving. - Ping Lu; Sunan Zhang; Feihong Tan; Fulin Zhang; Yuxiang Feng; Bo Hu 016 (Eng. Appl. Artif. Intell., 2025)