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Pingzhong Tang

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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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DoubleEnsemble: A New Ensemble Method Based on Sample Reweighting and Feature Selection for Financial Data Analysis

Oct 03, 2020
Chuheng Zhang, Yuanqi Li, Xi Chen, Yifei Jin, Pingzhong Tang, Jian Li

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Deterministic Value-Policy Gradients

Sep 09, 2019
Qingpeng Cai, Ling Pan, Pingzhong Tang

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Towards reliable and fair probabilistic predictions: field-aware calibration with neural networks

May 28, 2019
Feiyang Pan, Xiang Ao, Pingzhong Tang, Min Lu, Dapeng Liu, Qing He

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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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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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Deterministic Policy Gradients With General State Transitions

Oct 02, 2018
Qingpeng Cai, Ling Pan, Pingzhong Tang

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Rebalancing Dockless Bike Sharing Systems

Sep 10, 2018
Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang

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Policy Gradients for General Contextual Bandits

May 22, 2018
Feiyang Pan, Qingpeng Cai, Pingzhong Tang, Fuzhen Zhuang, Qing He

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Computer-aided mechanism design: designing revenue-optimal mechanisms via neural networks

May 09, 2018
Weiran Shen, Pingzhong Tang, Song Zuo

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