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Pingzhong Tang

SEIHAI: A Sample-efficient Hierarchical AI for the MineRL Competition

Nov 17, 2021
Hangyu Mao, Chao Wang, Xiaotian Hao, Yihuan Mao, Yiming Lu, Chengjie Wu, Jianye Hao, Dong Li, Pingzhong Tang

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* The winner solution of NeurIPS 2020 MineRL competition (https://www.aicrowd.com/challenges/neurips-2020-minerl-competition/leaderboards). The paper has been accepted by DAI 2021 (the third International Conference on Distributed Artificial Intelligence)

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Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings

Apr 25, 2019
Feiyang Pan, Shuokai Li, Xiang Ao, Pingzhong Tang, Qing He

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* Accepted at SIGIR 2019

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Policy Optimization with Model-based Explorations

Nov 18, 2018
Feiyang Pan, Qingpeng Cai, An-Xiang Zeng, Chun-Xiang Pan, Qing Da, Hualin He, Qing He, Pingzhong Tang

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* Accepted at AAAI-19

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