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Kaizhe Hu
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2020 – today
- 2024
- [c6]Kun Lei, Zhengmao He, Chenhao Lu, Kaizhe Hu, Yang Gao, Huazhe Xu:
Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization. ICLR 2024 - [c5]Chenhao Lu, Ruizhe Shi, Yuyao Liu, Kaizhe Hu, Simon Shaolei Du, Huazhe Xu:
Rethinking Transformers in Solving POMDPs. ICML 2024 - [i8]Yuanchen Ju, Kaizhe Hu, Guowei Zhang, Gu Zhang, Mingrun Jiang, Huazhe Xu:
Robo-ABC: Affordance Generalization Beyond Categories via Semantic Correspondence for Robot Manipulation. CoRR abs/2401.07487 (2024) - [i7]Chenhao Lu, Ruizhe Shi, Yuyao Liu, Kaizhe Hu, Simon S. Du, Huazhe Xu:
Rethinking Transformers in Solving POMDPs. CoRR abs/2405.17358 (2024) - [i6]Yongyuan Liang, Tingqiang Xu, Kaizhe Hu, Guangqi Jiang, Furong Huang, Huazhe Xu:
Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion. CoRR abs/2407.10973 (2024) - 2023
- [c4]Kaizhe Hu, Ray Chen Zheng, Yang Gao, Huazhe Xu:
Decision Transformer under Random Frame Dropping. ICLR 2023 - [c3]Ray Chen Zheng, Kaizhe Hu, Zhecheng Yuan, Boyuan Chen, Huazhe Xu:
Extraneousness-Aware Imitation Learning. ICRA 2023: 2973-2979 - [c2]Jialu Gao, Kaizhe Hu, Guowei Xu, Huazhe Xu:
Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning? NeurIPS 2023 - [c1]Zhecheng Yuan, Sizhe Yang, Pu Hua, Can Chang, Kaizhe Hu, Huazhe Xu:
RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization. NeurIPS 2023 - [i5]Kaizhe Hu, Ray Chen Zheng, Yang Gao, Huazhe Xu:
Decision Transformer under Random Frame Dropping. CoRR abs/2303.03391 (2023) - [i4]Jialu Gao, Kaizhe Hu, Guowei Xu, Huazhe Xu:
Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning? CoRR abs/2307.07837 (2023) - [i3]Zhecheng Yuan, Sizhe Yang, Pu Hua, Can Chang, Kaizhe Hu, Xiaolong Wang, Huazhe Xu:
RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization. CoRR abs/2307.10224 (2023) - [i2]Kun Lei, Zhengmao He, Chenhao Lu, Kaizhe Hu, Yang Gao, Huazhe Xu:
Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization. CoRR abs/2311.03351 (2023) - 2022
- [i1]Ray Chen Zheng, Kaizhe Hu, Zhecheng Yuan, Boyuan Chen, Huazhe Xu:
Extraneousness-Aware Imitation Learning. CoRR abs/2210.01379 (2022)
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last updated on 2024-09-04 01:24 CEST by the dblp team
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