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Qi Zhou

Alumni


qizhou@miralab.ai

Interests

  • Reinforcement Learning

Education

  • B.S., Computer Science and Technology, 2019

    University of Science and Technology of China

About me

I received my PhD degree from University of Science and Technology of China (USTC) in 2024. My advisor is Prof. Jie Wang, who leads the MIRA Lab. My research has been focused on developing trusted and sample-efficient reinforcement learning.

Awards

  • National Scholarship 2016

Experience

  • Intern at DiDi AI Labs, 07/2018 - 09/2018

Services

Program Committee Member

  • The 38th International Conference on Machine Learning (ICML), 2021
  • The 27th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), 2021

Publications

Zhihai Wang, Taoxing Pan, Qi Zhou, Jie Wang. Efficient Exploration in Resource-Restricted Reinforcement Learning. AAAI 2023.

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Zhihai Wang, Jie Wang, Qi Zhou, Bin Li, Houqiang Li. Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic. AAAI 2022.

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Yufei Kuang, Miao Lu, Jie Wang, Qi Zhou, Bin Li, Houqiang Li. Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization. AAAI 2022.

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Qi Zhou, Yufei Kuang, Zherui Qiu, Houqiang Li, Jie Wang. Promoting Stochasticity for Expressive Policies via a Simple and Efficient Regularization Method. NeurIPS 2020.

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Qi Zhou, Houqiang Li, Jie Wang. Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization. AAAI 2020.

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