Artem Zvyagintsev

Artem Zvyagintsev is a data scientist and independent researcher working on offline and multi-agent reinforcement learning.

Over twenty years, he has worked as a senior software engineer and data engineer, and most recently led data science in manufacturing.

His current research includes model-based offline RL, post-training of open-weight language models, and the behavior of LLM agents in multi-agent settings. He also writes about differentiable programming and category theory.

Code and writing: GitHub · Medium