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Qi Zhou

PhD Student


qizhou@miralab.ai

Interests

  • Reinforcement Learning

Education

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

    University of Science and Technology of China

About me

I am currently a Ph.D. candidate in USTC, advised by Prof. Jie Wang. 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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