Minae Kwon
minae [at] cs [dot] stanford [dot] edu

I am a PhD student at Stanford University advised by Dorsa Sadigh. I spent Fall 2022 at DeepMind with the Game Theory and Multiagent Team. Before that, I spent Summer 2021 at Facebook AI Research working on language agents for CICERO.

I'm interested in making AI systems easy to use for all humans --- can we communicate our objectives intuitively and can we train agents that are aligned with those objectives? My research lies in the intersection of reinforcement learning and human-AI interaction with a recent focus on Foundation Models. My research also has a heavy emphasis on human studies and learning from human data.

email   |   google scholar   |   twitter   

• [August 2023]

  Selected as an EECS Rising Star 2023.

• [May 2023]

  Our paper on Auto-Aligning Multiagent Incentives with Global Objectives received a Long Talk and was a finalist for Best Paper at the ALA Workshop at AAMAS!

• [Jan 2023]

  Our paper on Reward Design with LMs was accepted to ICLR 2023.

• [Aug 2022]

  I will be starting an internship at DeepMind!

For the most up-to-date list of publications, please see google scholar.

* indicates equal contribution and co-authorship.

(Long talk) (Finalist for Best Paper)

(Honorable Mention for Best Paper)

(Best Paper Award at ICML Adaptive and Multitask Learning Workshop)

(Best Paper Nomination)

website adapted from here