Yuhang Jiang

According to our database, Yuhang Jiang authored at least 19 papers between 2020 and 2026.

Collaborative distances:

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

2026

Listwise Policy Optimization: Group-based RLVR as Target-Projection on the LLM Response Simplex.

Yun Qu, Qi Wang, Yixiu Mao, Heming Zou, Yuhang Jiang, Yingyue Li, Wutong Xu, Lizhou Cai, Weijie Liu, Clive Bai, Kai Yang, Yangkun Chen, Saiyong Yang, Xiangyang Ji

CoRR, May, 2026

Small Generalizable Prompt Predictive Models Can Steer Efficient RL Post-Training of Large Reasoning Models.

Yun Qu, Qi Wang, Yixiu Mao, Heming Zou, Yuhang Jiang, Weijie Liu, Clive Bai, Kai Yang, Yangkun Chen, Saiyong Yang, Xiangyang Ji

CoRR, February, 2026

2025

Unsupervised Data Generation for Offline Reinforcement Learning: A Perspective from Model.

Shuncheng He, Hongchang Zhang, Jianzhun Shao, Yuhang Jiang, Xiangyang Ji

CoRR, June, 2025

Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning.

Yun Qu, Yuhang Jiang, Boyuan Wang, Yixiu Mao, Cheems Wang, Chang Liu, Xiangyang Ji

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Choices are More Important than Efforts: LLM Enables Efficient Multi-Agent Exploration.

Yun Qu, Boyuan Wang, Yuhang Jiang, Jianzhun Shao, Yixiu Mao, Cheems Wang, Chang Liu, Xiangyang Ji

CoRR, 2024

Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks.

Yun Qu, Boyuan Wang, Jianzhun Shao, Yuhang Jiang, Chen Chen, Zhenbin Ye, Lin Liu, Junfeng Yang, Lin Lai, Hongyang Qin, Minwen Deng, Juchao Zhuo, Deheng Ye, Qiang Fu, Wei Yang, Guang Yang, Lanxiao Huang, Xiangyang Ji

CoRR, 2024

Doubly Mild Generalization for Offline Reinforcement Learning.

Yixiu Mao, Qi Wang, Yun Qu, Yuhang Jiang, Xiangyang Ji

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

LLM-Empowered State Representation for Reinforcement Learning.

Boyuan Wang, Yun Qu, Yuhang Jiang, Jianzhun Shao, Chang Liu, Wenming Yang, Xiangyang Ji

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks.

Yun Qu, Boyuan Wang, Jianzhun Shao, Yuhang Jiang, Chen Chen, Zhenbin Ye, Lin Liu, Yang Feng, Lin Lai, Hongyang Qin, Minwen Deng, Juchao Zhuo, Deheng Ye, Qiang Fu, Yang Guang, Wei Yang, Lanxiao Huang, Xiangyang Ji

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

Complementary Attention for Multi-Agent Reinforcement Learning.

Jianzhun Shao, Hongchang Zhang, Yun Qu, Chang Liu, Shuncheng He, Yuhang Jiang, Xiangyang Ji

Proceedings of the International Conference on Machine Learning, 2023

DARL: Distance-Aware Uncertainty Estimation for Offline Reinforcement Learning.

Hongchang Zhang, Jianzhun Shao, Shuncheng He, Yuhang Jiang, Xiangyang Ji

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Near-Optimal Regret Bounds for Multi-batch Reinforcement Learning.

Zihan Zhang, Yuhang Jiang, Yuan Zhou, Xiangyang Ji

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Self-Organized Group for Cooperative Multi-agent Reinforcement Learning.

Jianzhun Shao, Zhiqiang Lou, Hongchang Zhang, Yuhang Jiang, Shuncheng He, Xiangyang Ji

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SPD: Synergy Pattern Diversifying Oriented Unsupervised Multi-agent Reinforcement Learning.

Yuhang Jiang, Jianzhun Shao, Shuncheng He, Hongchang Zhang, Xiangyang Ji

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

State Deviation Correction for Offline Reinforcement Learning.

Hongchang Zhang, Jianzhun Shao, Yuhang Jiang, Shuncheng He, Guanwen Zhang, Xiangyang Ji

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Wasserstein Unsupervised Reinforcement Learning.

Shuncheng He, Yuhang Jiang, Hongchang Zhang, Jianzhun Shao, Xiangyang Ji

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Reducing Conservativeness Oriented Offline Reinforcement Learning.

Hongchang Zhang, Jianzhun Shao, Yuhang Jiang, Shuncheng He, Xiangyang Ji

CoRR, 2021

Credit Assignment with Meta-Policy Gradient for Multi-Agent Reinforcement Learning.

Jianzhun Shao, Hongchang Zhang, Yuhang Jiang, Shuncheng He, Xiangyang Ji

CoRR, 2021

2020

PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation.

Jianzhun Shao, Yuhang Jiang, Gu Wang, Zhigang Li, Xiangyang Ji

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020