Hi, I’m Linh or Levi. I am a PhD student about Machine Learning 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 work on Transfer Learning, Robustness, Generalization, and In-context RL problems, aiming to develop scalable, sample-efficient RL algorithms for real-world applications such as robotics and large language models (LLMs). I am also interested in the applications of Diffusion Models and Foundation Models (LLMs/VLMs) within the context of RL.

I expect to graduate in Spring 2026, and I am actively seeking postdoc position or research positions in industry. 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.

News and Updates

2025

• 09/25: Attend ECML-PKDD 2025 and EWRL 2025.
• 07/25: Our paper on Offline Cross domain RL got accepted at ECAI 2025.
• 05/25: Our paper on Hybrid Robust RL got accepted at ECML 2025.
• 04/25: Our paper on Offline RL got accepted at IJCAI 2025. Congrats Hoang.

2024

• 12/24: Our paper on Cross-domain Offline RL with limited target samples setting got accepted at GenPlan2025 workshop at AAAI 2025.

2023

• 12/23: Our paper on Cross-domain in Reinforcement Learning with Deficient Support was accepted (Oral presentation) at AAMAS 2024 in Auckland, New Zealand. Grateful to my supervisors for their invaluable support.

2022

• 08/22: I moved to Geelong, VIC, Australia and started my PhD journey.
• 06/22: I received the offer letter from Applied Artificial Intelligence Institute, Deakin University for a PhD position with Scholarship!