Jens Tuyls

Computer Science PhD Student (final year)

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I am currently part of the Princeton NLP group, where I am advised by Professor Karthik Narasimhan. My research focuses on building decision-making agents, mainly using ideas from reinforcement learning (RL), imitation learning (IL), and natural language processing (NLP). To this end, I also closely collaborate with Professor Benjamin Eysenbach as part of the Princeton RL Lab.

Bio: I studied Computer Science and Engineering at UC Irvine, where I was fortunate to work with Professor Sameer Singh on interpretability in NLP, and with Professor Stephan Mandt and Professor Mike Pritchard on AI for climate. Now, I’m a final-year PhD student in the Princeton NLP group.

news

Jan, 2026 My MSR internship project Representation-Based Exploration for Language Models: From Test-Time to Post-Training was accepted to ICLR 2026!
Jan, 2026 Our new LLM post-training algorithm called RepExp was open-sourced into the verl-recipe repo.
Oct, 2025 Completed internship at Microsoft Research, NYC, where I worked with Dylan Foster, Akshay Krishnamurthy, and Jordan Ash! Check out our recent preprint on “Representation-Based Exploration for Language Models: From Test-Time to Post-Training”.
Oct, 2025 Our work “Can a MISL Fly? Analysis and Ingredients for Mutual Information Skill Learning” was accepted as Oral at ICLR 2025!
Oct, 2024 Our work “Can a MISL Fly? Analysis and Ingredients for Mutual Information Skill Learning” was accepted to the IMOL workshop at NeurIPS.