Tuan Dam

Tuan Dam is an Assistant Professor at the School of Information and Communication Technology (SoICT), Hanoi University of Science and Technology (HUST), focusing on the theory of Reinforcement Learning. Previously, he held a postdoctoral position at INRIA Lille, France, and completed his Ph.D. in Robotics at TU Darmstadt, Germany. His research emphasizes developing principled methods for robots in unstructured environments, with notable contributions to Monte Carlo Tree Search (MCTS) and POMDP applications.

Education:

• Ph.D. in Robotics, TU Darmstadt (Germany), 2024
• Master's in Electronics and Computer Engineering, Hanyang University (South Korea)
• Bachelor's in Computer Science, Vietnam

Research Interests: Reinforcement Learning under uncertainty, Monte Carlo Tree Search (MCTS), POMDPs, robotics applications, and theoretical foundations of sequential decision-making. His recent work includes integrating POMDP frameworks into MCTS for robot planning tasks like Disentangling and Mikado Problems.

Advising & Supervision:

• Co-supervised MS theses on topics like memory representations in partially observable RL and Laplacian representations for continuous MCTS
• Guided multiple integrated projects on MCTS benchmarking and policy search techniques

Labs & Collaborations: Former affiliations include ESOS Lab (Korea), HMI Lab (Vietnam), DFKI Berlin (Germany), and Auburn University (USA). Current work focuses on advancing RL theory and its industrial applications.