Jing-Cheng Pang

According to our database, Jing-Cheng Pang authored at least 18 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts.

Jing-Cheng Pang, Kaiyuan Li, Yidi Wang, Si-Hang Yang, Shengyi Jiang, Yang Yu

CoRR, May, 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

Trans. Mach. Learn. Res., 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

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

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, Masashi Sugiyama, Yang Yu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Model gradient: unified model and policy learning in model-based reinforcement learning.

Chengxing Jia, Fuxiang Zhang, Tian Xu, Jing-Cheng Pang, Zongzhang Zhang, Yang Yu

Frontiers Comput. Sci., August, 2024

Beyond Simple Sum of Delayed Rewards: Non-Markovian Reward Modeling for Reinforcement Learning.

Yuting Tang, Xin-Qiang Cai, Jing-Cheng Pang, Qiyu Wu, Yao-Xiang Ding, Masashi Sugiyama

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

CoRR, 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

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Language Model Self-improvement by Reinforcement Learning Contemplation.

Jing-Cheng Pang, Pengyuan Wang, Kaiyuan Li, Xiong-Hui Chen, Jiacheng Xu, Zongzhang Zhang, Yang Yu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Natural Language-conditioned Reinforcement Learning with Inside-out Task Language Development and Translation.

Jing-Cheng Pang, Xinyu Yang, Si-Hang Yang, Yang Yu

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Object-Oriented Option Framework for Robotics Manipulation in Clutter.

Jing-Cheng Pang, Si-Hang Yang, Xiong-Hui Chen, Xinyu Yang, Yang Yu, Mas Ma, Ziqi Guo, Howard Yang, Bill Huang

IROS, 2023

2021

Sparsity Prior Regularized Q-learning for Sparse Action Tasks.

Jing-Cheng Pang, Tian Xu, Shengyi Jiang, Yu-Ren Liu, Yang Yu

CoRR, 2021

Regret Minimization Experience Replay.

Zhenghai Xue, Xu-Hui Liu, Jing-Cheng Pang, Shengyi Jiang, Feng Xu, Yang Yu

CoRR, 2021

Regret Minimization Experience Replay in Off-Policy Reinforcement Learning.

Xu-Hui Liu, Zhenghai Xue, Jing-Cheng Pang, Shengyi Jiang, Feng Xu, Yang Yu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Offline Imitation Learning with a Misspecified Simulator.

Shengyi Jiang, Jing-Cheng Pang, Yang Yu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Improving Fictitious Play Reinforcement Learning with Expanding Models.

Rong-Jun Qin, Jing-Cheng Pang, Yang Yu

CoRR, 2019