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2020 – today
- 2024
[j1]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): 184339 (2024)- [c5]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 - [i8]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 abs/2402.03719 (2024) - [i7]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 abs/2404.09248 (2024) - [i6]Yuting Tang, Xin-Qiang Cai, Jing-Cheng Pang, Qiyu Wu, Yao-Xiang Ding, Masashi Sugiyama:
Beyond Simple Sum of Delayed Rewards: Non-Markovian Reward Modeling for Reinforcement Learning. CoRR abs/2410.20176 (2024) - 2023
- [c4]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: 1230-1237 - [c3]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 - [i5]Jing-Cheng Pang, Xinyu Yang, Si-Hang Yang, Yang Yu:
Natural Language-conditioned Reinforcement Learning with Inside-out Task Language Development and Translation. CoRR abs/2302.09368 (2023) - [i4]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 abs/2305.14483 (2023) - 2021
- [c2]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: 17604-17615 - [i3]Zhenghai Xue, Xu-Hui Liu, Jing-Cheng Pang, Shengyi Jiang, Feng Xu, Yang Yu:
Regret Minimization Experience Replay. CoRR abs/2105.07253 (2021) - [i2]Jing-Cheng Pang, Tian Xu, Shengyi Jiang, Yu-Ren Liu, Yang Yu:
Sparsity Prior Regularized Q-learning for Sparse Action Tasks. CoRR abs/2105.08666 (2021) - 2020
- [c1]Shengyi Jiang, Jing-Cheng Pang, Yang Yu:
Offline Imitation Learning with a Misspecified Simulator. NeurIPS 2020
2010 – 2019
- 2019
- [i1]Rong-Jun Qin, Jing-Cheng Pang, Yang Yu:
Improving Fictitious Play Reinforcement Learning with Expanding Models. CoRR abs/1911.11928 (2019)
Coauthor Index
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