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Dr Vien's research focuses on looking for the bridge among machine learning and artificial intelligence techniques with robot learning and motion planning. His broad research interest lies in three main topics: i) Intelligent Systems: Reinforcement learning, policy search, deep reinforcement learning, planning under uncertainty (POMDPs), learning from human feedback; ii) Machine Learning: Probabilistic modeling, deep learning, Bayesian inference, active learning; and iii) Robotics: Motor skill learning, movement primitives, manipulation under uncertainty, model learning, motion planning, optimal control, and human-robot interaction.

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Open to PhD applications in the field of 

  • Machine learning, robotics, planning
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Faculty of Engineering and Physical Sciences

School Of Electronics, Electrical Engineering And Computer Science


Research at Queen's

Postgraduate research

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