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Tuan Dam
Tuan Dam
Postdoc Fellow, Scool, INRIA
Verified email at inria.fr - Homepage
Title
Cited by
Cited by
Year
On the io characteristics of the sqlite transactions
DQ Tuan, S Cheon, Y Won
Proceedings of the International Conference on Mobile Software Engineering …, 2016
272016
Monte-carlo robot path planning
T Dam, G Chalvatzaki, J Peters, J Pajarinen
IEEE Robotics and Automation Letters 7 (4), 11213-11220, 2022
112022
Convex regularization in Monte-Carlo tree search
TQ Dam, C D’Eramo, J Peters, J Pajarinen
International Conference on Machine Learning, 2365-2375, 2021
92021
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
62019
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
32019
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
12017
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
2023
Sample Efficient Monte Carlo Tree Search for Robotics
T Dam
Technische Universität Darmstadt, 2023
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
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
2020
Optimizing the SQLite Performance in Android Platform
DQ Tuan
한양대학교, 2016
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
2016
A Functional Mirror Descent Perspective on Reinforcement Learning
B Belousov, M Hensel, T Dam, J Peters
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Articles 1–13