Beining Han

According to our database, Beining Han authored at least 14 papers between 2020 and 2025.

Collaborative distances:

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

2025

Evaluating Robustness of Monocular Depth Estimation with Procedural Scene Perturbations.

Jack Nugent, Siyang Wu, Zeyu Ma, Beining Han, Meenal Parakh, Abhishek Joshi, Lingjie Mei, Alexander Raistrick, Xinyuan Li, Jia Deng

CoRR, July, 2025

AnyBody: A Benchmark Suite for Cross-Embodiment Manipulation.

Meenal Parakh, Alexandre Kirchmeyer, Beining Han, Jia Deng

CoRR, May, 2025

Infinigen-Sim: Procedural Generation of Articulated Simulation Assets.

Abhishek Joshi, Beining Han, Jack Nugent, Yiming Zuo, Jonathan Liu, Hongyu Wen, Stamatis Alexandropoulos, Tao Sun, Alexander Raistrick, Gaowen Liu, Yi Shao, Jia Deng

CoRR, May, 2025

Zero-shot Sim2Real Transfer for Magnet-Based Tactile Sensor on Insertion Tasks.

Beining Han, Abhishek Joshi, Jia Deng

CoRR, May, 2025

2024

Infinigen Indoors: Photorealistic Indoor Scenes using Procedural Generation.

Alexander Raistrick, Lingjie Mei, Karhan Kayan, David Yan, Yiming Zuo, Beining Han, Hongyu Wen, Meenal Parakh, Stamatis Alexandropoulos, Lahav Lipson, Zeyu Ma, Jia Deng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

FetchBench: A Simulation Benchmark for Robot Fetching.

Beining Han, Meenal Parakh, Derek Geng, Jack A Defay, Luyang Gan, Jia Deng

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

Infinite Photorealistic Worlds Using Procedural Generation.

Alexander Raistrick, Lahav Lipson, Zeyu Ma, Lingjie Mei, Mingzhe Wang, Yiming Zuo, Karhan Kayan, Hongyu Wen, Beining Han, Yihan Wang, Alejandro Newell, Hei Law, Ankit Goyal, Kaiyu Yang, Jia Deng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Off-Policy Reinforcement Learning with Delayed Rewards.

Beining Han, Zhizhou Ren, Zuofan Wu, Yuan Zhou, Jian Peng

Proceedings of the International Conference on Machine Learning, 2022

2021

Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization.

Jianhao Wang, Zhizhou Ren, Beining Han, Jianing Ye, Chongjie Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On the Estimation Bias in Double Q-Learning.

Zhizhou Ren, Guangxiang Zhu, Hao Hu, Beining Han, Jianglun Chen, Chongjie Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Domain Invariant Representations in Goal-conditioned Block MDPs.

Beining Han, Chongyi Zheng, Harris Chan, Keiran Paster, Michael R. Zhang, Jimmy Ba

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DOP: Off-Policy Multi-Agent Decomposed Policy Gradients.

Yihan Wang, Beining Han, Tonghan Wang, Heng Dong, Chongjie Zhang

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Off-Policy Multi-Agent Decomposed Policy Gradients.

Yihan Wang, Beining Han, Tonghan Wang, Heng Dong, Chongjie Zhang

CoRR, 2020

Towards Understanding Linear Value Decomposition in Cooperative Multi-Agent Q-Learning.

Jianhao Wang, Zhizhou Ren, Beining Han, Chongjie Zhang

CoRR, 2020