Tuan Dam
Tuan Dam
Postdoc Fellow, Scool, INRIA
Verified email at - Homepage
Cited by
Cited by
On the io characteristics of the sqlite transactions
DQ Tuan, S Cheon, Y Won
Proceedings of the International Conference on Mobile Software Engineering …, 2016
Monte-carlo robot path planning
T Dam, G Chalvatzaki, J Peters, J Pajarinen
IEEE Robotics and Automation Letters 7 (4), 11213-11220, 2022
Convex regularization in Monte-Carlo tree search
TQ Dam, C D’Eramo, J Peters, J Pajarinen
International Conference on Machine Learning, 2365-2375, 2021
Generalized mean estimation in Monte-Carlo tree search
T Dam, P Klink, C D'Eramo, J Peters, J Pajarinen
arXiv preprint arXiv:1911.00384, 2019
Dash: Database shadowing for mobile dbms
Y Won, S Kim, J Yun, DQ Tuan, J Seo
Proceedings of the VLDB Endowment 12 (7), 793-806, 2019
Monte-Carlo tree search with uncertainty propagation via optimal transport
T Dam, P Stenger, L Schneider, J Pajarinen, C D'Eramo, OA Maillard
arXiv preprint arXiv:2309.10737, 2023
Atomic multi-database transaction of WAL joumaling mode in SQLite
S Kim, M Kim, DQ Tuan, Y Won
2017 19th International Conference on Advanced Communication Technology …, 2017
Power Mean Estimation in Stochastic Monte-Carlo Tree_Search
T Dam, OA Maillard, E Kaufmann
arXiv preprint arXiv:2406.02235, 2024
Sample Efficient Monte Carlo Tree Search for Robotics
T Dam
Technische Universität Darmstadt, 2023
A Unified Perspective on Value Backup and Exploration in Monte-Carlo Tree Search
T Dam, C D'Eramo, J Peters, J Pajarinen
arXiv preprint arXiv:2202.07071, 2022
Generalized Mean Estimation in Monte-Carlo Tree Search
J Dam, Tuan and Klink, Pascal and D'Eramo, Carlo and Peters, Jan and Pajarinen
International Joint Conferences on Artificial Intelligence Organization, 2020
Optimizing the SQLite Performance in Android Platform
DQ Tuan
한양대학교, 2016
Adopting Barrier to Reduce Consistency Overheads in Linux I/O Stack
YW Jaemin Jung, Hankeun Son, Dam Quang Tuan
14th USENIX Conference on File and Storage. Technologies (FAST '16). (Poster …, 2016
Distributional Monte-Carlo Planning with Thompson Sampling in Stochastic Environments
TQ Dam, B Driss, OA Maillard
ICML 2024 Workshop: Foundations of Reinforcement Learning and Control …, 0
A Functional Mirror Descent Perspective on Reinforcement Learning
B Belousov, M Hensel, T Dam, J Peters
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