Dam Quang Tuan

Lecturer, Department Of Computer Science

Ph.D. (Informatik, Technische Universität Darmstadt, Germany, 2022)
M.S. (Hanyang University, Seoul, Korea, 2016)
B.Eng. (Posts & Telecommunications Institute of Technology (PTIT), Hanoi, Vietnam, 2007)

Email: tuandq@soict.hust.edu.vn
Web: https://users.soict.hust.edu.vn/tuandq/

• Artificial Intelligence
• Decision Making Systems

• Theory perspective of Reinforcement learning (online, offline, robustness)

DAM Quang Tuan is a lecturer at the School of Information and Communications Technology, Hanoi University of Science and Technology (HUST). He obtained a Ph.D degree in computer science in 2022 from the Technische Universität Darmstadt, Germany. His research now focuses on Monte Carlo Tree Search, Online Planning, Reinforcement Learning, Robotics, Multi-Armed Bandit, and Information Theory. He is an invited reviewer of leading conferences in artificial intelligence, including CORL, NeurIPS, ICML, EWRL, AISTAT, IEEE T-RO, IEEE IROS, IEEE RAL.

• Tuan Dam, Odalric-Ambrym Maillard, Emilie Kaufmann. Power Mean Estimation in Stochastic Monte-Carlo Tree Search, The Conference on Uncertainty in Artificial Intelligence (UAI) 2024.
• T Dam; C D’Eramo; J Peters; J Pajarinen. A Unified Perspective on Value Backup and Exploration in Monte-Carlo Tree Search, was accepted at the Journal of Artificial Intelligence Research (JAIR).
• Tuan Dam, Brahim Driss, Odalric-Ambrym Maillard. Distributional Monte-Carlo Planning with Thompson Sampling in Stochastic Environments, the ICML 2024 Workshop RLControlTheory 2024.
• Tuan Dam, Odalric-Ambrym Maillard, Emilie Kaufmann. Power Mean Estimation in Stochastic Monte-Carlo Tree Search. The ICML 2024 Workshop RLControlTheory 2024.
• Tuan Dam, P Stenger, L Schneider, J Pajarinen, C D’Eramo, OA Maillard. Monte-Carlo tree search with uncertainty propagation via optimal transport, Technical Report.
• T Dam, Carlo D’Eramo, Joni Pajarinen, Jan Peters. A Unified Perspective on Value Backup and Exploration in Monte-Carlo Tree Search, The 16th European Workshop on Reinforcement Learning (EWRL 2023).
• T Dam; C D’Eramo; J Peters; J Pajarinen. Convex regularization in Monte-Carlo tree search, International Conference on Machine Learning 2021, 2365-2375.
• T Dam; P Klink; C D’Eramo; J Peters; J Pajarinen. Generalized mean estimation in Monte-Carlo tree search, International Joint Conferences on Artificial Intelligence Organization 2020, 2397–2404.
• T Dam; G Chalvatzaki; J Peters; J Pajarinen. (2022). Monte-Carlo Robot Path Plan-
  ning, IEEE/RSJ International Conference on Intelligent Robots and Systems 2022.
• T Dam; G Chalvatzaki; J Peters; J Pajarinen. Monte-Carlo robot path planning, IEEE Robotics and Automation Letters 2022, 11213-11220.
• T Dam. Sample Efficient Monte Carlo Tree Search for Robotics, Technische Universität Darmstadt.
• B Belousov; M Hensel; T Dam; J Peters. A Functional Mirror Descent Perspective on Reinforcement Learning, Technical report.

• IT3100: Object Oriented Programming

• Silver prize National Mathematic Medalist