Jing-Cheng Pang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Sparse Approximation

Reinforcement Learning

Top Venues

Publications

Chengxing Jia, Fuxiang Zhang, Tian Xu, Jing-Cheng Pang, Zongzhang Zhang, Yang Yu
Model gradient: unified model and policy learning in model-based reinforcement learning. Frontiers Comput. Sci. 18 (4) (2024)
Jing-Cheng Pang, Si-Hang Yang, Kaiyuan Li, Jiaji Zhang, Xiong-Hui Chen, Nan Tang, Yang Yu
Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts. CoRR (2024)
Jing-Cheng Pang, Heng-Bo Fan, Pengyuan Wang, Jiahao Xiao, Nan Tang, Si-Hang Yang, Chengxing Jia, Sheng-Jun Huang, Yang Yu
Empowering Language Models with Active Inquiry for Deeper Understanding. CoRR (2024)
Jing-Cheng Pang, Pengyuan Wang, Kaiyuan Li, Xiong-Hui Chen, Jiacheng Xu, Zongzhang Zhang, Yang Yu
Language Model Self-improvement by Reinforcement Learning Contemplation. ICLR (2024)
Jing-Cheng Pang, Xin-Yu Yang, Si-Hang Yang, Yang Yu
Natural Language-conditioned Reinforcement Learning with Inside-out Task Language Development and Translation. CoRR (2023)
Jing-Cheng Pang, Xinyu Yang, Si-Hang Yang, Xiong-Hui Chen, Yang Yu
Natural Language Instruction-following with Task-related Language Development and Translation. NeurIPS (2023)
Jing-Cheng Pang, Pengyuan Wang, Kaiyuan Li, Xiong-Hui Chen, Jiacheng Xu, Zongzhang Zhang, Yang Yu
Language Model Self-improvement by Reinforcement Learning Contemplation. CoRR (2023)
Jing-Cheng Pang, Si-Hang Yang, Xiong-Hui Chen, Xinyu Yang, Yang Yu, Mas Ma, Ziqi Guo, Howard Yang, Bill Huang
Object-Oriented Option Framework for Robotics Manipulation in Clutter. IROS (2023)
Zhenghai Xue, Xu-Hui Liu, Jing-Cheng Pang, Shengyi Jiang, Feng Xu, Yang Yu
Regret Minimization Experience Replay. CoRR (2021)
Jing-Cheng Pang, Tian Xu, Shengyi Jiang, Yu-Ren Liu, Yang Yu
Sparsity Prior Regularized Q-learning for Sparse Action Tasks. CoRR (2021)
Xu-Hui Liu, Zhenghai Xue, Jing-Cheng Pang, Shengyi Jiang, Feng Xu, Yang Yu
Regret Minimization Experience Replay in Off-Policy Reinforcement Learning. NeurIPS (2021)
Shengyi Jiang, Jing-Cheng Pang, Yang Yu
Offline Imitation Learning with a Misspecified Simulator. NeurIPS (2020)
Rong-Jun Qin, Jing-Cheng Pang, Yang Yu
Improving Fictitious Play Reinforcement Learning with Expanding Models. CoRR (2019)