Yuecheng Liu

Exploration via Distributional Reinforcement Learning with Epistemic and Aleatoric Uncertainty Estimation*

Yunhong Xu, Qi Liu, Yanjie Li, 2021, 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE).

RITA: Boost Autonomous Driving Simulators with Realistic Interactive Traffic Flow

Weinan Zhang, Zhengbang Zhu, Minghuan Liu, 2022, ArXiv.

RITA: Boost Autonomous Driving Simulators with Realistic Interactive Traffic Flow

Weinan Zhang, Zhengbang Zhu, Minghuan Liu, 2022, arXiv.org.

Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection

Yuzheng Zhuang, Jiajun Fan, Shutao Xia, 2023, ICLR.

Action Set Based Policy Optimization for Safe Power Grid Management

Hongsheng Zeng, Fan Wang, Kejiao Li, 2021, ECML/PKDD.

Distributional reinforcement learning with epistemic and aleatoric uncertainty estimation

Yunhong Xu, Qi Liu, Yanjie Li, 2023, Inf. Sci..

RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow

Weinan Zhang, Zhengbang Zhu, Minghuan Liu, 2022, DAI.

Impact of various periods of perfusion-pause and reperfusion on the severity of myocardial injury in the langenodorff model

Gang Liu, Yida Tang, Yajuan Yin, 2022, Perfusion.