Han, Beining

9 publications

NeurIPS 2025 Evaluating Robustness of Monocular Depth Estimation with Procedural Scene Perturbations John Nugent, Siyang Wu, Zeyu Ma, Beining Han, Meenal Parakh, Abhishek Joshi, Lingjie Mei, Alexander Raistrick, Xinyuan Li, Jia Deng

CoRL 2024 FetchBench: A Simulation Benchmark for Robot Fetching Beining Han, Meenal Parakh, Derek Geng, Jack A Defay, Gan Luyang, Jia Deng

CVPR 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

CVPR 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

ICML 2022 Off-Policy Reinforcement Learning with Delayed Rewards Beining Han, Zhizhou Ren, Zuofan Wu, Yuan Zhou, Jian Peng

ICLR 2021 DOP: Off-Policy Multi-Agent Decomposed Policy Gradients Yihan Wang, Beining Han, Tonghan Wang, Heng Dong, Chongjie Zhang

NeurIPS 2021 Learning Domain Invariant Representations in Goal-Conditioned Block MDPs Beining Han, Chongyi Zheng, Harris Chan, Keiran Paster, Michael Zhang, Jimmy Ba

NeurIPS 2021 On the Estimation Bias in Double Q-Learning Zhizhou Ren, Guangxiang Zhu, Hao Hu, Beining Han, Jianglun Chen, Chongjie Zhang

NeurIPS 2021 Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization Jianhao Wang, Zhizhou Ren, Beining Han, Jianing Ye, Chongjie Zhang