Jing-Cheng Pang

According to our database, Jing-Cheng Pang authored at least 13 papers between 2019 and 2024.

Collaborative distances:

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

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

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