Yuecheng Liu

According to our database, Yuecheng Liu authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Data Efficient Deep Reinforcement Learning With Action-Ranked Temporal Difference Learning.

Qi Liu, Yanjie Li, Yuecheng Liu, Ke Lin, Jianqi Gao, Yunjiang Lou

IEEE Trans. Emerg. Top. Comput. Intell., August, 2024

Actra: Optimized Transformer Architecture for Vision-Language-Action Models in Robot Learning.

Yueen Ma, Dafeng Chi, Shiguang Wu, Yuecheng Liu, Yuzheng Zhuang, Jianye Hao, Irwin King

CoRR, 2024

SCALE: Self-Correcting Visual Navigation for Mobile Robots via Anti-Novelty Estimation.

Chang Chen, Yuecheng Liu, Yuzheng Zhuang, Sitong Mao, Kaiwen Xue, Shunbo Zhou

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

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

Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu, Jianye Hao, Bin Wang, Jiangcheng Zhu, Hao Wang, Shu-Tao Xia

Proceedings of the Eleventh International Conference on Learning Representations, 2023

RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow.

Zhengbang Zhu, Shenyu Zhang, Yuzheng Zhuang, Yuecheng Liu, Minghuan Liu, Ziqing Gong, Shixiong Kai, Qiang Gu, Bin Wang, Siyuan Cheng, Xinyu Wang, Jianye Hao, Yong Yu

Proceedings of the Fifth International Conference on Distributed Artificial Intelligence, 2023

2022

RITA: Boost Autonomous Driving Simulators with Realistic Interactive Traffic Flow.

Zhengbang Zhu, Shenyu Zhang, Yuzheng Zhuang, Yuecheng Liu, Minghuan Liu, Liyuan Mao, Ziqing Gong, Weinan Zhang, Shixiong Kai, Qiang Gu, Bin Wang, Siyuan Cheng, Xinyu Wang, Jianye Hao, Yong Yu

CoRR, 2022

2021

Towards Autonomous Driving Decision by Combining Self-attention and Deep Reinforcement Learning.

Meiling Chen, Yanjie Li, Qi Liu, Shaohua Lv, Yunhong Xu, Yuecheng Liu

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021

Action Set Based Policy Optimization for Safe Power Grid Management.

Bo Zhou, Hongsheng Zeng, Yuecheng Liu, Kejiao Li, Fan Wang, Hao Tian

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

Multi-agent Pathfinding with Local and Global Guidance.

Yunhong Xu, Yanjie Li, Qi Liu, Jianqi Gao, Yuecheng Liu, Meiling Chen

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2021

Efficient Power Grid Topology Control via Two-Stage Action Search.

Yuecheng Liu, Yanjie Li, Qi Liu, Yunhong Xu, Shaohua Lv, Meiling Chen

Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021

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

Qi Liu, Yanjie Li, Yuecheng Liu, Meiling Chen, Shaohua Lv, Yunhong Xu

Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021