Hi, I am Linh or Levi. I'm a PhD candidate at Applied Artificial Intelligence Institute (A2I2), Deakin University, advised by Prof. Sunil Gupta and Dr. Hung Tran The . Previously, I earned a first-class honors degree in Information Technology from the University of Engineering and Technology, Vietnam National University, Hanoi.
My research interests center on Machine Learning, with a current focus on Reinforcement Learning (RL) in offline, online, and offline-to-online settings. I am also interested in the applications of Diffusion Models and Foundation Models (LLMs/VLMs) within the context of RL.
I'm always open to discussions and collaborations. Please feel free to reach out via email if you have a potential opportunity in mind, are interested in collaborating, or would just like to chat about research.
Outside of research, I love reading books, listening music, taking photos, running (both road and trails marathon), cycling, and hiking. I'm also learning to play (classic) guitar.
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Selected Publications (view all )
DmC: Nearest Neighbor Guidance Diffusion Model for Offline Cross-domain Reinforcement Learning
Linh Le, Minh Hoang Nguyen, Duc Kieu, Hung Le, Hung The Tran, Sunil Gupta
European Conference on Artificial Intelligence (ECAI) 2025
We study cross-domain offline RL with limited target data, where neural domain-gap estimators often overfit and only part of the source dataset overlaps with the target domain. We propose DmC, combining a k-NN proximity estimator with a nearest-neighbor–guided diffusion model to generate target-aligned source samples, and show strong gains over prior methods on MuJoCo benchmarks.
DmC: Nearest Neighbor Guidance Diffusion Model for Offline Cross-domain Reinforcement Learning
Linh Le, Minh Hoang Nguyen, Duc Kieu, Hung Le, Hung The Tran, Sunil Gupta
We study cross-domain offline RL with limited target data, where neural domain-gap estimators often overfit and only part of the source dataset overlaps with the target domain. We propose DmC, combining a k-NN proximity estimator with a nearest-neighbor–guided diffusion model to generate target-aligned source samples, and show strong gains over prior methods on MuJoCo benchmarks.
Policy Learning for Off-Dynamics RL with Deficient Support
Linh Le, Hung The Tran, Sunil Gupta
International Conference on Autonomous Agents and Multiagent Systems (AAMAS) 2024
We tackle cross-domain policy transfer under large dynamics mismatch, where the common "full support" assumption (the simulator covers all target transitions) is unrealistic. We propose a simple method that skews and extends source support toward target support to reduce support deficiencies, and show consistent gains over prior approaches across diverse benchmarks.
Policy Learning for Off-Dynamics RL with Deficient Support
Linh Le, Hung The Tran, Sunil Gupta
We tackle cross-domain policy transfer under large dynamics mismatch, where the common "full support" assumption (the simulator covers all target transitions) is unrealistic. We propose a simple method that skews and extends source support toward target support to reduce support deficiencies, and show consistent gains over prior approaches across diverse benchmarks.
All publications
Experience
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Sep. 2020 - Jul. 2022VNU University of Engineering and Technology
Teaching assistant for the Computer science courses: Introduction to Informatics, Advanced Programming, Data Structures and Algorithms, Image Processing. -
Sep. 2020 - Jul. 2022UET AILab, Vietnam National University
Reasearch about Medical Image Translation.
Education
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Aug. 2022 - presentA2I2, Deakin University
Deakin Applied Artificial Intelligence Initiative
Ph.D. Candidate -
Sep. 2016 - Jul. 2020University of Engineering and Technology, Vietnam National University, Hanoi
B.S. in Computer Science (Honor Program)
🏆 Honors & Awards
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Deakin University Postgraduate Research Scholarship for PhD candidature.2022
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Certificate of merit awarded by the VNU University of Engineering and Technology for Outstanding student of the entire course.2020
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1st Digital Race FPT (Autonomous car competition) 2019, round UET.2019
Misc
Services
Reviews: TMLR (2025, 2026), RLC (2025, 2026), ECML(2025), ACML(2025), EWRL (2025).