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RGB-D-based Stair Detection using Deep Learning for Autonomous Stair Climbing


Dec 09, 2022
Chen Wang, Zhongcai Pei, Shuang Qiu, Zhiyong Tang

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RGB-D based Stair Detection using Deep Learning for Autonomous Stair Climbing


Dec 02, 2022
Chen Wang, Zhongcai Pei, Shuang Qiu, Zhiyong Tang

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Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning


Jul 29, 2022
Shuang Qiu, Lingxiao Wang, Chenjia Bai, Zhuoran Yang, Zhaoran Wang

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* ICML 2022 

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Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions


Jul 25, 2022
Shuang Qiu, Xiaohan Wei, Jieping Ye, Zhaoran Wang, Zhuoran Yang

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* ICML 2021 

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Stochastic Gradient Descent without Full Data Shuffle


Jun 12, 2022
Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cedric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang

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* This technical report is an extension of our SIGMOD 2022 paper titled "In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle". https://doi.org/10.1145/3514221.3526150 

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Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach


Feb 25, 2022
Boxiang Lyu, Qinglin Meng, Shuang Qiu, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan

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* The first three authors contribute equally and are listed in alphabetical order 

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Deep Leaning-Based Ultra-Fast Stair Detection


Feb 04, 2022
Chen Wang, Zhongcai Pei, Shuang Qiu, Zhiyong Tang

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Safe Screening for Sparse Conditional Random Fields


Nov 27, 2021
Weizhong Zhang, Shuang Qiu

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On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game


Oct 19, 2021
Shuang Qiu, Jieping Ye, Zhaoran Wang, Zhuoran Yang

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* ICML 2021 

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