Dr Vien Ngo
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.
Open to PhD applications in the field of
- Machine learning, robotics, planning
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