Jun Jet Tai

    Calculated based on number of publications stored in Pure and citations from Scopus

    Research activity per year

    Personal profile

    Research Interests

    Reinforcement Learning, Computer Vision, Robotics, Having Fun


    Procrastinates sometimes, working mostly, curious always.

    Jet is a researcher working in the field of reinforcement learning and unmanned aerial robotics. He is a core member of the Farama Foundation, a maintainer of the popular PettingZoo and SuperSuit libraries, and author of the PyFlyt library, and research student within the Autonomous Vehicles and Artificial Intelligence Laboratory within the Centre for Future Transport and Cities at Coventry University.

    Jet very frequently works with people from the international community on topics he finds interesting, and is always learning and applying the latest and greatest tools and algorithms in the world of machine learning.

    Previously, Jet obtained an undergraduate's degree in Mechanical Engineering from Taylor's University, Malaysia and obtained an award for achieving the highest academic score in his cohort. While there, he worked as a research assistant under the Taylor's Unmanned Aerial Vehicles research group under Dr. Swee King Phang. His research involved designing novel control and obstacle avoidance algorithms for quadrotor UAVs.

    Education/Academic qualification

    Mechanical Engineering, MEng, Taylor's University

    Award Date: 1 Jan 2020


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