Reinforcement Learning under uncertainty, Monte Carlo Tree Search, Multi Armed Bandit, POMDPs, MDPs, Information Theory, Robotics
TU Darmstadt, FG IAS,
Hochschulstr. 10, 64289 Darmstadt
Office. Room E226, Building S2|02
Tuan is a second year Ph.D. researcher for the Intelligent Autonomous Systems Group at TU Darmstadt. Tuan has an interdisciplinary background in Computer Science from the bachelor's in Vietnam. Tuan did his Master's thesis in Electronics and Computer Engineering at Hanyang University, Korea. He gains lots of research experience mainly in Computer Vision, Interpreting and Understanding Deep Convolution Neural Network, Entropy Regularization Markov Decision Process, and Embedded System in Academy (ESOS lab - Korea, HMI lab - Vietnam, DFKI - Berlin, Germany, Auburn University, USA) and Industry.
During his Ph.D., Tuan is researching the development of principled methods that allow robots to operate in unstructured partially observable real-world environments. In his recent work, He proposed a framework to apply Partially Observable Markov Decision Process (POMDP) in Monte Carlo Planning settings. His work has been accepted to publish at the IJCAI 2020 conference with an acceptance rate of 12,6%. He is now focusing on bringing his framework to apply to robot planning problems such as Disentangling and Mikado Tasks.
# Fisher, B. E.;Boyd, L.;Winstein, C. J. (2006). Contralateral cerebellar damage impairs imperative planning but not updating of aimed arm movements in humans, EXPERIMENTAL BRAIN RESEARCH, 174, 3, pp.453-466, SPRINGER.
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