Runze Liu

According to our database, Runze Liu authored at least 20 papers between 2022 and 2026.

Collaborative distances:

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

2026

Temporal difference learning with constrained initial representations.

Jiafei Lyu, Jingwen Yang, Zhongjian Qiao, Runze Liu, Zeyuan Liu, Deheng Ye, Zongqing Lu, Xiu Li

Inf. Sci., 2026

GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning.

Jian Zhao, Runze Liu, Kaiyan Zhang, Zhimu Zhou, Junqi Gao, Dong Li, Jiafei Lyu, Zhouyi Qian, Biqing Qi, Xiu Li, Bowen Zhou

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

PROF: An LLM-based Reward Code Preference Optimization Framework for Offline Imitation Learning.

Shengjie Sun, Jiafei Lyu, Runze Liu, Mengbei Yan, Bo Liu, Deheng Ye, Xiu Li

CoRR, November, 2025

ASPO: Asymmetric Importance Sampling Policy Optimization.

Jiakang Wang, Runze Liu, Lei Lin, Wenping Hu, Xiu Li, Fuzheng Zhang, Guorui Zhou, Kun Gai

CoRR, October, 2025

Attention as a Compass: Efficient Exploration for Process-Supervised RL in Reasoning Models.

Runze Liu, Jiakang Wang, Yuling Shi, Zhihui Xie, Chenxin An, Kaiyan Zhang, Jian Zhao, Xiaodong Gu, Lei Lin, Wenping Hu, Xiu Li, Fuzheng Zhang, Guorui Zhou, Kun Gai

CoRR, September, 2025

A Survey of Reinforcement Learning for Large Reasoning Models.

Kaiyan Zhang, Yuxin Zuo, Bingxiang He, Youbang Sun, Runze Liu, Che Jiang, Yuchen Fan, Kai Tian, Guoli Jia, Pengfei Li, Yu Fu, Xingtai Lv, Yuchen Zhang, Sihang Zeng, Shang Qu, Haozhan Li, Shijie Wang, Yuru Wang, Xinwei Long, Fangfu Liu, Xiang Xu, Jiaze Ma, Xuekai Zhu, Ermo Hua, Yihao Liu, Zonglin Li, Huayu Chen, Xiaoye Qu, Yafu Li, Weize Chen, Zhenzhao Yuan, Junqi Gao, Dong Li, Zhiyuan Ma, Ganqu Cui, Zhiyuan Liu, Biqing Qi, Ning Ding, Bowen Zhou

CoRR, September, 2025

ReviewRL: Towards Automated Scientific Review with RL.

Sihang Zeng, Kai Tian, Kaiyan Zhang, Yuru wang, Junqi Gao, Runze Liu, Sa Yang, Jingxuan Li, Xinwei Long, Jiaheng Ma, Biqing Qi, Bowen Zhou

CoRR, August, 2025

Stabilizing Knowledge, Promoting Reasoning: Dual-Token Constraints for RLVR.

Jiakang Wang, Runze Liu, Fuzheng Zhang, Xiu Li, Guorui Zhou

CoRR, July, 2025

Bohdi: Heterogeneous LLM Fusion with Automatic Data Exploration.

Junqi Gao, Zhichang Guo, Dazhi Zhang, Dong Li, Runze Liu, Pengfei Li, Kai Tian, Biqing Qi

CoRR, June, 2025

Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling.

Runze Liu, Junqi Gao, Jian Zhao, Kaiyan Zhang, Xiu Li, Biqing Qi, Wanli Ouyang, Bowen Zhou

CoRR, February, 2025

A large language model-driven reward design framework via dynamic feedback for reinforcement learning.

Shengjie Sun, Runze Liu, Jiafei Lyu, Jingwen Yang, Liangpeng Zhang, Xiu Li

Knowl. Based Syst., 2025

Cross-Domain Offline Policy Adaptation with Optimal Transport and Dataset Constraint.

Jiafei Lyu, Mengbei Yan, Zhongjian Qiao, Runze Liu, Xiaoteng Ma, Deheng Ye, Jingwen Yang, Zongqing Lu, Xiu Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

ReviewRL: Towards Automated Scientific Review with RL.

Sihang Zeng, Kai Tian, Kaiyan Zhang, Yuru Wang, Junqi Gao, Runze Liu, Sa Yang, Jingxuan Li, Xinwei Long, Jiaheng Ma, Biqing Qi, Bowen Zhou

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

VLP: Vision-Language Preference Learning for Embodied Manipulation.

Runze Liu, Chenjia Bai, Jiafei Lyu, Shengjie Sun, Yali Du, Xiu Li

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors.

Fengshuo Bai, Runze Liu, Yali Du, Ying Wen, Yaodong Yang

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

2024

PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation.

Runze Liu, Yali Du, Fengshuo Bai, Jiafei Lyu, Xiu Li

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

SEABO: A Simple Search-Based Method for Offline Imitation Learning.

Jiafei Lyu, Xiaoteng Ma, Le Wan, Runze Liu, Xiu Li, Zongqing Lu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Enhancing Visual Generalization in Reinforcement Learning with Cycling Augmentation.

Shengjie Sun, Jiafei Lyu, Lu Li, Jiazhe Guo, Mengbei Yan, Runze Liu, Xiu Li

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023

Zero-shot Preference Learning for Offline RL via Optimal Transport.

Runze Liu, Yali Du, Fengshuo Bai, Jiafei Lyu, Xiu Li

CoRR, 2023

2022

Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning.

Runze Liu, Fengshuo Bai, Yali Du, Yaodong Yang

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