Driving SMARTS Competition at NeurIPS 2022: Insights and Outcome. - Amir Rasouli; Soheil Alizadeh; Iuliia Kotseruba; Yi Ma; Hebin Liang; Yuan Tian; Zhiyu Huang; Haochen Liu; Jingda Wu; Randy Goebel; Tianpei Yang; Matthew E. Taylor; et al. (NeurIPS (Competition and Demos), 2021)

SplitNet: A Reinforcement Learning Based Sequence Splitting Method for the MinMax Multiple Travelling Salesman Problem. - Hebin Liang; Yi Ma 005; Zilin Cao; Tianyang Liu; Fei Ni 001; Zhigang Li; Jianye Hao (AAAI, 2023)

A Hierarchical Imitation Learning-based Decision Framework for Autonomous Driving. - Hebin Liang; Zibin Dong; Yi Ma 005; Xiaotian Hao; Yan Zheng 002; Jianye Hao (CIKM, 2023)

Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback. - Yifu Yuan; Jianye Hao; Yi Ma 005; Zibin Dong; Hebin Liang; Jinyi Liu 002; Zhixin Feng; Kai Zhao; Yan Zheng 002 (ICLR, 2024)

Rethinking Decision Transformer via Hierarchical Reinforcement Learning. - Yi Ma 005; Jianye Hao; Hebin Liang; Chenjun Xiao (ICML, 2024)

From Chaos to Order: The Atomic Reasoner Framework for Fine-grained Reasoning in Large Language Models. - Jinyi Liu 002; Yan Zheng 002; Rong Cheng; Qiyu Wu 006; Wei Guo; Fei Ni 001; Hebin Liang; Yifu Yuan; Hangyu Mao; Fuzheng Zhang; Jianye Hao (CoRR, 2025)