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Conference and Workshop Papers
- 2024
[c7]Alexander Raistrick, Lingjie Mei, Karhan Kayan, David Yan, Yiming Zuo, Beining Han, Hongyu Wen, Meenal Parakh, Stamatis Alexandropoulos, Lahav Lipson, Zeyu Ma, Jia Deng:
Infinigen Indoors: Photorealistic Indoor Scenes using Procedural Generation. CVPR 2024: 21783-21794- 2023
- [c6]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:
Infinite Photorealistic Worlds Using Procedural Generation. CVPR 2023: 12630-12641 - 2022
- [c5]Beining Han, Zhizhou Ren, Zuofan Wu, Yuan Zhou, Jian Peng:
Off-Policy Reinforcement Learning with Delayed Rewards. ICML 2022: 8280-8303 - 2021
- [c4]Yihan Wang, Beining Han, Tonghan Wang, Heng Dong, Chongjie Zhang:
DOP: Off-Policy Multi-Agent Decomposed Policy Gradients. ICLR 2021 - [c3]Beining Han, Chongyi Zheng, Harris Chan, Keiran Paster, Michael R. Zhang, Jimmy Ba:
Learning Domain Invariant Representations in Goal-conditioned Block MDPs. NeurIPS 2021: 764-776 - [c2]Zhizhou Ren, Guangxiang Zhu, Hao Hu, Beining Han, Jianglun Chen, Chongjie Zhang:
On the Estimation Bias in Double Q-Learning. NeurIPS 2021: 10246-10259 - [c1]Jianhao Wang, Zhizhou Ren, Beining Han, Jianing Ye, Chongjie Zhang:
Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization. NeurIPS 2021: 29142-29155
Informal and Other Publications
- 2024
- [i8]Beining Han, Meenal Parakh, Derek Geng, Jack A Defay, Luyang Gan, Jia Deng:
FetchBench: A Simulation Benchmark for Robot Fetching. CoRR abs/2406.11793 (2024) - [i7]Alexander Raistrick, Lingjie Mei, Karhan Kayan, David Yan, Yiming Zuo, Beining Han, Hongyu Wen, Meenal Parakh, Stamatis Alexandropoulos, Lahav Lipson, Zeyu Ma, Jia Deng:
Infinigen Indoors: Photorealistic Indoor Scenes using Procedural Generation. CoRR abs/2406.11824 (2024) - 2023
- [i6]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:
Infinite Photorealistic Worlds using Procedural Generation. CoRR abs/2306.09310 (2023) - 2021
- [i5]Beining Han, Zhizhou Ren, Zuofan Wu, Yuan Zhou, Jian Peng:
Off-Policy Reinforcement Learning with Delayed Rewards. CoRR abs/2106.11854 (2021) - [i4]Zhizhou Ren, Guangxiang Zhu, Hao Hu, Beining Han, Jianglun Chen, Chongjie Zhang:
On the Estimation Bias in Double Q-Learning. CoRR abs/2109.14419 (2021) - [i3]Beining Han, Chongyi Zheng, Harris Chan, Keiran Paster, Michael R. Zhang, Jimmy Ba:
Learning Domain Invariant Representations in Goal-conditioned Block MDPs. CoRR abs/2110.14248 (2021) - 2020
- [i2]Jianhao Wang, Zhizhou Ren, Beining Han, Chongjie Zhang:
Towards Understanding Linear Value Decomposition in Cooperative Multi-Agent Q-Learning. CoRR abs/2006.00587 (2020) - [i1]Yihan Wang, Beining Han, Tonghan Wang, Heng Dong, Chongjie Zhang:
Off-Policy Multi-Agent Decomposed Policy Gradients. CoRR abs/2007.12322 (2020)
Coauthor Index
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