Exploration via Distributional Reinforcement Learning with Epistemic and Aleatoric Uncertainty Estimation. - Qi Liu 027; Yanjie Li; Yuecheng Liu; Meiling Chen; Shaohua Lv; Yunhong Xu (CASE, 2021)

Efficient Power Grid Topology Control via Two-Stage Action Search. - Yuecheng Liu; Yanjie Li; Qi Liu 027; Yunhong Xu; Shaohua Lv; Meiling Chen (ICIRA (3), 2021)

Multi-agent Pathfinding with Local and Global Guidance. - Yunhong Xu; Yanjie Li; Qi Liu 027; Jianqi Gao; Yuecheng Liu; Meiling Chen (ICNSC, 2021)

Action Set Based Policy Optimization for Safe Power Grid Management. - Bo Zhou; Hongsheng Zeng; Yuecheng Liu; Kejiao Li; Fan Wang 021; Hao Tian 005 (ECML/PKDD (5), 2021)

Towards Autonomous Driving Decision by Combining Self-attention and Deep Reinforcement Learning. - Meiling Chen; Yanjie Li; Qi Liu 027; Shaohua Lv; Yunhong Xu; Yuecheng Liu (RCAR, 2021)

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 001; Shixiong Kai; Qiang Gu; Bin Wang 034; Siyuan Cheng 012; et al. (CoRR, 2022)

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 034; Siyuan Cheng 012; Xinyu Wang 001; Jianye Hao; et al. (DAI, 2023)

Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection. - Jiajun Fan; Yuzheng Zhuang; Yuecheng Liu; Jianye Hao; Bin Wang 034; Jiangcheng Zhu; Hao Wang 049; Shu-Tao Xia (ICLR, 2023)

SCALE: Self-Correcting Visual Navigation for Mobile Robots via Anti-Novelty Estimation. - Chang Chen; Yuecheng Liu; Yuzheng Zhuang; Sitong Mao; Kaiwen Xue; Shunbo Zhou (ICRA, 2024)

Actra: Optimized Transformer Architecture for Vision-Language-Action Models in Robot Learning. - Yueen Ma 001; Dafeng Chi; Shiguang Wu 004; Yuecheng Liu; Yuzheng Zhuang; Jianye Hao; Irwin King (CoRR, 2024)

ET-Plan-Bench: Embodied Task-level Planning Benchmark Towards Spatial-Temporal Cognition with Foundation Models. - Lingfeng Zhang; Yuening Wang; Hongjian Gu; Atia Hamidizadeh; Zhanguang Zhang; Yuecheng Liu; Yutong Wang; David Gamaliel Arcos Bravo; Junyi Dong; Shunbo Zhou; Tongtong Cao; Yuzheng Zhuang; et al. (CoRR, 2024)

Data Efficient Deep Reinforcement Learning With Action-Ranked Temporal Difference Learning. - Qi Liu 027; Yanjie Li; Yuecheng Liu; Ke Lin 001; Jianqi Gao; Yunjiang Lou (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

SpatialCoT: Advancing Spatial Reasoning through Coordinate Alignment and Chain-of-Thought for Embodied Task Planning. - Yuecheng Liu; Dafeng Chi; Shiguang Wu 004; Zhanguang Zhang; Yaochen Hu 001; Lingfeng Zhang; Yingxue Zhang 001; Shuang Wu 005; Tongtong Cao; Guowei Huang; Helong Huang; Guangjian Tian; et al. (CoRR, 2025)

Mem2Ego: Empowering Vision-Language Models with Global-to-Ego Memory for Long-Horizon Embodied Navigation. - Lingfeng Zhang; Yuecheng Liu; Zhanguang Zhang; Matin Aghaei; Yaochen Hu 001; Hongjian Gu; Mohammad Ali Alomrani; David Gamaliel Arcos Bravo; Raika Karimi; Atia Hamidizadeh; Haoping Xu; Guowei Huang; et al. (CoRR, 2025)

Structured Preference Optimization for Vision-Language Long-Horizon Task Planning. - Xiwen Liang; Min Lin; Weiqi Ruan; Rongtao Xu; Yuecheng Liu; Jiaqi Chen; Bingqian Lin; Yuzheng Zhuang; Xiaodan Liang (CoRR, 2025)

Distributional Policy Gradient With Distributional Value Function. - Qi Liu 027; Yanjie Li; Xiongtao Shi; Ke Lin 001; Yuecheng Liu; Yunjiang Lou (IEEE Trans. Neural Networks Learn. Syst., 2025)

MineAnyBuild: Benchmarking Spatial Planning for Open-world AI Agents. - Ziming Wei; Bingqian Lin; Zijian Jiao; Yunshuang Nie; Liang Ma; Yuecheng Liu; Yuzheng Zhuang; Xiaodan Liang (CoRR, 2025)