Object-Oriented Option Framework for Robotics Manipulation in Clutter. - Jing-Cheng Pang; Si-Hang Yang; Xiong-Hui Chen; Xinyu Yang; Yang Yu 001; Mas Ma; Ziqi Guo; Howard Yang; Bill Huang (IROS, 2023)

Natural Language Instruction-following with Task-related Language Development and Translation. - Jing-Cheng Pang; Xinyu Yang; Si-Hang Yang; Xiong-Hui Chen; Yang Yu 001 (NeurIPS, 2023)

Natural Language-conditioned Reinforcement Learning with Inside-out Task Language Development and Translation. - Jing-Cheng Pang; Xinyu Yang; Si-Hang Yang; Yang Yu 001 (CoRR, 2023)

Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable Environments. - Xiong-Hui Chen; Junyin Ye; Hang Zhao; Yi-Chen Li 001; Haoran Shi; Yu-Yan Xu; Zhihao Ye; Si-Hang Yang; Anqi Huang; Kai Xu 004; Zongzhang Zhang; Yang Yu 001 (CoRR, 2023)

Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration. - Xiong-Hui Chen; Junyin Ye; Hang Zhao; Yi-Chen Li 001; XuHui Liu; Haoran Shi; Yu-Yan Xu; Zhihao Ye; Si-Hang Yang; Yang Yu 001; Anqi Huang; Kai Xu 004; et al. (ICML, 2024)

KALM: Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts. - Jing-Cheng Pang; Si-Hang Yang; Kaiyuan Li; Jiaji Zhang; Xiong-Hui Chen; Nan Tang; Yang Yu 001 (NeurIPS, 2024)

Empowering Language Models with Active Inquiry for Deeper Understanding. - Jing-Cheng Pang; Heng-Bo Fan; Pengyuan Wang; Jiahao Xiao; Nan Tang; Si-Hang Yang; Chengxing Jia; Sheng-Jun Huang; Yang Yu 001 (CoRR, 2024)

Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts. - Jing-Cheng Pang; Si-Hang Yang; Kaiyuan Li; Jiaji Zhang; Xiong-Hui Chen; Nan Tang; Yang Yu 001 (CoRR, 2024)

InCLET: Large Language Model In-context Learning can Improve Embodied Instruction-following. - Peng-Yuan Wang; Jing-Cheng Pang; Chenyang Wang; Xu-Hui Liu; Tian-Shuo Liu; Si-Hang Yang; Hong Qian; Yang Yu (AAMAS, 2025)

Interactive Large Language Models for Reliable Answering under Incomplete Context. - Jing-Cheng Pang; Heng-Bo Fan; Pengyuan Wang; Jiahao Xiao; Nan Tang; Si-Hang Yang; Chengxing Jia; Ming-Kun Xie; Xiang Chen; Sheng-Jun Huang; Yang Yu 001 (Trans. Mach. Learn. Res., 2025)

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts. - Jing-Cheng Pang; Kaiyuan Li; Yidi Wang; Si-Hang Yang; Shengyi Jiang; Yang Yu 001 (CoRR, 2025)