Lecturer, Hanoi University of Science and Technology. At a Vietnamese institution since 2024.
Also published as: Đàm Quang Tuấn, Tuan Quang Dam, Tuan Q. Dam, Quang Tuan Dam
12 accepted papers at the ten venues since 2024: 7 in the official lists and 5 known only from personal pages, shown as +5 and tagged "unofficial" below. 4 accepted before 2026, 8 from 2026. ICLR: 2 submitted, 0 accepted, 2 rejected. Rejected and on record at other venues (public rejections and papers placed in Findings): NeurIPS 1.
Links
- Homepage: tuanquangdam.wordpress.com
- OpenReview profile (~Tuan_Quang_Dam1): openreview.net/profile?id=~Tuan_Quang_Dam1
- Homepage: tuanquangdam.wordpress.com/news
- Homepage: tuanquangdam.wordpress.com/about-me
- Staff page: soict.hust.edu.vn/en/ph-d-dam-quang-tuan.html
- Homepage: tuanquangdam.com
- DBLP: dblp.org/pid/252/5881.html
- Google Scholar: scholar.google.com/citations?user=ZwCL6tAAAAAJ
Co-authors
- Hoang Ta (HUST): 3 papers
- An Thai Le (VinUni): 1 paper
- Khoa D. Doan (VinUni): 1 paper
People on this site who share papers with this professor, accepted, rejected or workshop, with their institution today and the number of shared papers; see Researcher collaboration for the whole graph.
Google Scholar
A snapshot of the Google Scholar profile taken on 2026-10-02; it is not updated. Google Scholar counts every publication, not only the ten conferences.
| All | Since 2021 | |
|---|---|---|
| Citations | 195 | 173 |
| h-index | 6 | 6 |
| i10-index | 5 | 5 |
Submitted and accepted per year
Accepted papers per year by where the authors are
Each column is one year's accepted papers; grey papers are known only from announcements or personal pages.
Co-authors and topics
- 2.3 co-authors per paper on average, accepted or not (fewest on an accepted paper 0, most on any submission 21), 25 different co-authors over 15 papers.
- 0.9 foreign co-authors per paper on average: co-authors whose affiliation on the paper is outside Vietnam.
- 14 different co-authors are at another university or institution than HUST (11 abroad, 3 in Vietnam).
- The last two figures use the 12 of 15 papers whose list prints an affiliation for each author.
- 2 topics in 2 areas, from the conference's own label on 4 of 15 papers: Reinforcement Learning (3), Theory (1).
| Topic area | Topic | Papers |
|---|---|---|
| Reinforcement Learning | Planning | 3 |
| Theory | Reinforcement Learning and Planning | 1 |
Accepted papers (12)
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NeurIPS 2026unofficial
Beyond Expected Values: Risk-Sensitive Planning with Distributional Monte-Carlo Tree Search
Unofficial: name and affiliation; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
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NeurIPS 2026unofficial
Graph Topology Augmentation for Prioritized Sweeping in Non-stationary Reinforcement Learning
Unofficial: name and affiliation; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
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NeurIPS 2026unofficial
Graph-Based Stochastic-Power-UCT: Monte-Carlo Graph Search with Power Mean Estimation
Unofficial: name and affiliation; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
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NeurIPS 2026spotlightunofficial
Nearly Optimal Fixed-Confidence Best-Arm Identification with 1-Bit Feedback
Unofficial: name and affiliation; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
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NeurIPS 2026unofficial
Sharp Non-Asymptotic Analysis of the Penalized Challenger in $\beta$-EB-TCI for Bernoulli Bandits
Unofficial: name and affiliation; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
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ICML 2026spotlight
Conservation Laws for Modern Neural Architectures
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ICML 2026oral
Second-Order Smooth Planning with Optimal-Transport Bellman Smoothing
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ICML 2026
Variance Driven Exploration: A Provable and Efficient Methodology for Pure Exploration in Highly Stochastic Environments
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NeurIPS 2025
Optimal Regret Bounds via Low-Rank Structured Variation in Non-Stationary Reinforcement Learning
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ICML 2025spotlight
Monte-Carlo Tree Search with Uncertainty Propagation via Optimal Transport
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ICML 2025
Online Robust Reinforcement Learning Through Monte-Carlo Planning
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ICML 2025
Power Mean Estimation in Stochastic Continuous Monte-Carlo Tree Search
Rejected (3)
Submissions that were not accepted.
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ICLR 2026, desk-rejected
Dimension-Adaptive MCTS: Optimal Sample Complexity for Continuous Action Planning
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ICLR 2026, rejected
Distributional Monte-Carlo Tree Search with Thompson Sampling in Stochastic Environments
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NeurIPS 2024, rejected
Distributional Monte-Carlo Planning with Thompson Sampling in Stochastic Environments
Before joining a Vietnamese institution (2)
Papers from before the year this person's post in Vietnam began, which the site does not count.
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ICLR 2021, rejected
Convex Regularization in Monte-Carlo Tree Search
Not counted: before 2024, when they joined a Vietnamese institution.
The same title was accepted at ICML 2021.
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ICML 2021spotlight
Convex Regularization in Monte-Carlo Tree Search
Not counted: before 2024, when they joined a Vietnamese institution.
Workshop papers (3)
Workshop papers found on OpenReview and papers placed in Findings, for reference; not counted, except that a Findings paper counts as a main-track rejection (see About).
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ICML 2026 · workshop AdaptFM
StructSAM: Structure- and Spectrum-Preserving Token Merging for Segment Anything Models
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ICML 2024 · workshop RLControlTheory
Distributional Monte-Carlo Planning with Thompson Sampling in Stochastic Environments
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ICML 2024 · workshop RLControlTheory
Power Mean Estimation in Stochastic Monte-Carlo Tree Search