Jens Tuyls

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) and natural language processing (NLP). To this end, I also closely collaborate with Professor Benjamin Eysenbach as part of the Princeton RL Lab.

Specifically, my work has explored (1) how to build agents that can operate in textual environments, (2) how to leverage scaling laws developed in NLP for imitation learning agents, and (3) how to build agents that can explore their environments in a principled, self-supervised manner without any prior knowledge. Currently, I’m especially excited about building principled algorithms for grounding language and control.

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 5th year PhD student in the Princeton NLP group.