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GuideBoot: Guided Bootstrap for Deep Contextual Bandits


Jul 18, 2021
Feiyang Pan, Haoming Li, Xiang Ao, Wei Wang, Yanrong Kang, Ao Tan, Qing He

* WWW-2021 

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Trust the Model When It Is Confident: Masked Model-based Actor-Critic


Oct 10, 2020
Feiyang Pan, Jia He, Dandan Tu, Qing He

* NeurIPS 2020 

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GoChat: Goal-oriented Chatbots with Hierarchical Reinforcement Learning


May 26, 2020
Jianfeng Liu, Feiyang Pan, Ling Luo


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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

* 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

* Accepted at AAAI-19 

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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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