• Jing-Cheng Pang, Si-Hang Yang, Kaiyuan Li, Jiaji Zhang, Xiong-Hui Chen, Nan Tang and Yang Yu. Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts. CoRR abs/2404.09248, 2024.

• Jing-Cheng Pang*, Heng-Bo Fan*, Pengyuan Wang*, Jia-Hao Xiao*, Nan Tang, Si-Hang Yang, Chengxing Jia, Sheng-Jun Huang and Yang Yu. Empowering Language Models with Active Inquiry for Deeper Understanding. CoRR abs/2402.03719, 2024.

• Jing-Cheng Pang, Tian Xu, Shengyi Jiang, Yu-Ren Liu and Yang Yu. Reinforcement Learning With Sparse-Executing Actions via Sparsity Regularization. CoRR abs/2105.08666, 2023.

• Rong-Jun Qin, Jing-Cheng Pang and Yang Yu. Improving Fictitious Play Reinforcement Learning with Expanding Models. CoRR abs/1907.01077, 2019.

• Jing-Cheng Pang*, Pengyuan Wang*, Kaiyuan Li, Xiong-Hui Chen, Jiacheng Xu, ZongZhang Zhang and Yang Yu. Language Model Self-improvement by Reinforcement Learning Contemplation. In: ICLR, 2024.

• Jing-Cheng Pang*, Pengyuan Wang*, Nan Tang, Kaiyuan Li, Xionghui Chen, Jiacheng Xu, Zongzhang Zhang and Yang Yu. Language Model Self-improvement by Reinforcement Learning Contemplation. In: DAI (Student Poster), 2023.

• Jing-Cheng Pang*, Xinyu Yang*, Si-Hang Yang, Xiong-Hui Chen and Yang Yu. Natural Language Instruction-following with Task-related Language Development and Translation. In: NeurIPS, 2023.

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

• Xu-Hui Liu*, Zhenghai Xue*, Jing-Cheng Pang, Shengyi Jiang, Feng Xu and Yang Yu. Regret Minimization Experience Replay in Off-Policy Reinforcement Learning. In: NeurIPS, 2021.

• Shengyi Jiang, Jing-Cheng Pang and Yang Yu. Offline imitation learning with a misspecified simulator. In: NeurIPS, 2020.

• Chengxing Jia*, Fuxiang Zhang*, Tian Xu, Jing-Cheng Pang, Zongzhang Zhang and Yang Yu. Model Gradient: Unified Model and Policy Learning in Model-based Reinforcement Learning. Frontiers of Computer Science, to appear, 2023.