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Can Chang

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2020 – today

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2024
[i3]
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  - journals/corr/abs-2406-01150
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  - https://dblp.org/rec/journals/corr/abs-2406-01150
Haoran He, Can Chang, Huazhe Xu, Ling Pan:
Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets. CoRR abs/2406.01150 (2024)
2023
[c2]
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  - conf/nips/YuanYHCHX23
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Zhecheng Yuan, Sizhe Yang, Pu Hua, Can Chang, Kaizhe Hu, Huazhe Xu:
RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization. NeurIPS 2023
[i2]
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  - journals/corr/abs-2307-10224
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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)
2022
[j1]
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  - journals/cmpb/ChangLYZ22
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Can Chang, Ning Liu, Li Yao, Xiaojie Zhao:
A semi-supervised classification RBM with an improved fMRI representation algorithm. Comput. Methods Programs Biomed. 222: 106960 (2022)
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Can Chang, Ni Mu, Jiajun Wu, Ling Pan, Huazhe Xu:
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance. NeurIPS 2022
[i1]
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  - journals/corr/abs-2212-02064
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Can Chang, Ni Mu, Jiajun Wu, Ling Pan, Huazhe Xu:
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance. CoRR abs/2212.02064 (2022)

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