Research areas
I am a machine learning researcher with extensive experience in both academia and industry, specializing in natural language processing and machine learning. I am passionate about translating cutting-edge research into real-world applications, and I maintain a deep curiosity about fundamental scientific mysteries—particularly the emergence of human language.
PhD supervision
- Thomas Martin
- Aarushi Sharma
Selected publications
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Open access
Multi-parameter control for the (1+(λ,λ))-GA on OneMax via deep reinforcement learning
Nguyen, T., Le, P., Doerr, C. & Dang, N., Aug 2025, Proceedings of the 18th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. ACMResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution
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On the importance of reward design in reinforcement learning-based dynamic algorithm configuration: a case study on OneMax with (1+(λ,λ))-GA
Nguyen, T., Le, P., Biedenkapp, A., Doerr, C. & Dang, N., Jul 2025, Proceedings of the genetic and evolutionary computation conference 2025 (GECCO '25). New York: ACM, p. 1162 - 1171Research output: Chapter in Book/Report/Conference proceeding › Conference contribution