Human-guided reinforcement learning: methodology and application to autonomous driving by Wu, Jingda

“…The proposed methodology in this thesis can contribute to the development of learning-based autonomous driving techniques and has the potential to be applied in a broader range of contexts.…”
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Fear-neuro-inspired reinforcement learning for safe autonomous driving by He, Xiangkun, Wu, Jingda, Huang, Zhiyu, Hu, Zhongxu, Wang, Jun, Sangiovanni-Vincentelli, Alberto, Lv, Chen

“…Drawing inspiration from this scientific discovery, we present a fear-neuro-inspired reinforcement learning framework to realize safe autonomous driving through modeling the amygdala functionality. …”
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Prioritized experience-based reinforcement learning with human guidance for autonomous driving by Wu, Jingda, Huang, Zhiyu, Huang, Wenhui, Lv, Chen

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Toward human-in-the-loop AI: enhancing deep reinforcement learning via real-time human guidance for autonomous driving by Wu, Jingda, Huang, Zhiyu, Hu, Zhongxu, Lv, Chen

“…In this study, a real-time human-guidance-based (Hug)-deep reinforcement learning (DRL) method is developed for policy training in an end-to-end autonomous driving case. With our newly designed mechanism for control transfer between humans and automation, humans are able to intervene and correct the agent's unreasonable actions in real time when necessary during the model training process. …”
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Deep reinforcement learning-based energy-efficient decision-making for autonomous electric vehicle in dynamic traffic environments by Wu, Jingda, Song, Ziyou, Lv, Chen

“…Autonomous driving techniques are promising for improving the energy efficiency of electrified vehicles (EVs) by adjusting driving decisions and optimizing energy requirements. …”
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Safe decision-making for lane-change of autonomous vehicles via human demonstration-aided reinforcement learning by Wu, Jingda, Huang, Wenhui, de Boer, Niels, Mo, Yanghui, He, Xiangkun, Lv, Chen

“…Decision-making is critical for lane change in autonomous driving. Reinforcement learning (RL) algorithms aim to identify the values of behaviors in various situations and thus they become a promising pathway to address the decision- making problem. …”
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