Zhennan Jiang

According to our database, Zhennan Jiang authored at least 8 papers between 2024 and 2026.

Collaborative distances:

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

2026

Beyond Action Residuals: Real-World Robot Policy Steering via Bottleneck Latent Reinforcement Learning.

Dongjie Yu, Kun Lei, Zhennan Jiang, Jia Pan, Huazhe Xu

CoRR, May, 2026

Posterior Optimization with Clipped Objective for Bridging Efficiency and Stability in Generative Policy Learning.

Yuhui Chen, Haoran Li, Zhennan Jiang, Yuxing Qin, Yuxuan Wan, Weiheng Liu, Dongbin Zhao

CoRR, April, 2026

TeViR: Text-to-Video Reward With Diffusion Models for Efficient Reinforcement Learning.

Yuhui Chen, Haoran Li, Zhennan Jiang, Haowei Wen, Dongbin Zhao

IEEE Trans. Syst. Man Cybern. Syst., February, 2026

WoVR: World Models as Reliable Simulators for Post-Training VLA Policies with RL.

Zhennan Jiang, Shangqing Zhou, Yutong Jiang, Zefang Huang, Mingjie Wei, Yuhui Chen, Tianxing Zhou, Zhen Guo, Hao Lin, Quanlu Zhang, Yu Wang, Haoran Li, Chao Yu, Dongbin Zhao

CoRR, February, 2026

2025

RL-100: Performant Robotic Manipulation with Real-World Reinforcement Learning.

Kun Lei, Huanyu Li, Dongjie Yu, Zhenyu Wei, Lingxiao Guo, Zhennan Jiang, Ziyu Wang, Shiyu Liang, Huazhe Xu

CoRR, October, 2025

MARS-Sep: Multimodal-Aligned Reinforced Sound Separation.

Zihan Zhang, Xize Cheng, Zhennan Jiang, Dongjie Fu, Jingyuan Chen, Zhou Zhao, Tao Jin

CoRR, October, 2025

World4RL: Diffusion World Models for Policy Refinement with Reinforcement Learning for Robotic Manipulation.

Zhennan Jiang, Kai Liu, Yuxin Qin, Shuai Tian, Yupeng Zheng, Mingcai Zhou, Chao Yu, Haoran Li, Dongbin Zhao

CoRR, September, 2025

2024

Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization.

Haoran Li, Zhennan Jiang, Yuhui Chen, Dongbin Zhao

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