Chirayu Nimonkar
Princeton Computer Science '26
Hey! I'm a researcher interested in reinforcement learning, particularly the goal-conditioned and multi-agent settings. I graduated from Princeton, where I studied CS and math and was advised by Professor Ben Eysenbach at the Princeton RL Lab. I am also fortunate to have worked with Professor Tom Griffiths and Professor Simon Levin. I'm broadly interested in how we can build principled AI systems that discover and leverage skills the way humans do from trial-and-error.
Selected Publications
Emergent Compositional Skills in Mixture-of-Experts VLAs
Workshop on Compositional Learning, ICML 2026
Self-Supervised Goal-Reaching Results in Multi-Agent Cooperation and Exploration
arXiv preprint, 2025
Development of Anatomically Accurate Brain Model of Small Animals for Experimental Verification of Transcranial Magnetic Stimulation
IEEE Transactions on Magnetics, 2022
Patent: Anatomically Accurate Rodent Head Models and Brain Phantoms and Methods for Making and Using the Same
US Patent WO2023278864A1, 2023
* Equal contribution
Projects
Goal-Conditioned Multi-Agent RL
Self-supervised goal-reaching results in multi-agent cooperation and exploration.
Probing LLM Numeracy
Modeling low-dimensional internal representations of numbers in large language models.
Rat Brain Phantom
Anatomically accurate brain models of small animals for verifying transcranial magnetic stimulation.