Improving Fictitious Play Reinforcement Learning with Expanding Models. - Rong-Jun Qin; Jing-Cheng Pang; Yang Yu 001 (CoRR, 2019)

Offline Imitation Learning with a Misspecified Simulator. - Shengyi Jiang; Jing-Cheng Pang; Yang Yu 001 (NeurIPS, 2020)

Regret Minimization Experience Replay in Off-Policy Reinforcement Learning. - Xu-Hui Liu; Zhenghai Xue; Jing-Cheng Pang; Shengyi Jiang; Feng Xu 007; Yang Yu 001 (NeurIPS, 2021)

Regret Minimization Experience Replay. - Zhenghai Xue; Xu-Hui Liu; Jing-Cheng Pang; Shengyi Jiang; Feng Xu 007; Yang Yu 001 (CoRR, 2021)

Sparsity Prior Regularized Q-learning for Sparse Action Tasks. - Jing-Cheng Pang; Tian Xu 003; Shengyi Jiang; Yu-Ren Liu; Yang Yu 001 (CoRR, 2021)

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)

Language Model Self-improvement by Reinforcement Learning Contemplation. - Jing-Cheng Pang; Pengyuan Wang; Kaiyuan Li; Xiong-Hui Chen; Jiacheng Xu 003; Zongzhang Zhang; Yang Yu 001 (ICLR, 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)

Beyond Simple Sum of Delayed Rewards: Non-Markovian Reward Modeling for Reinforcement Learning. - Yuting Tang; Xin-Qiang Cai; Jing-Cheng Pang; Qiyu Wu 001; Yao-Xiang Ding 001; Masashi Sugiyama (CoRR, 2024)

Model gradient: unified model and policy learning in model-based reinforcement learning. - Chengxing Jia; Fuxiang Zhang; Tian Xu 003; Jing-Cheng Pang; Zongzhang Zhang; Yang Yu 001 (Frontiers Comput. Sci., 2024)

Learning View-invariant World Models for Visual Robotic Manipulation. - Jing-Cheng Pang; Nan Tang; Kaiyuan Li; Yuting Tang; Xin-Qiang Cai; Zhen-Yu Zhang; Gang Niu 001; Masashi Sugiyama; Yang Yu 001 (ICLR, 2025)

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)