Nina Mazyavkina

Graduated from: Skoltech

Research interests: Reinforcement Learning, Combinatorial Optimization, Graph Neural Networks, Neural Architecture Search

Thesis title: Reinforcement learning with auxilary task learning for solving combinatorial optimization problems over graphs

Published pre-prints:

[1] Nina Mazyavkina, Sergey Sviridov, Sergei Ivanov, and Evgeny Burnaev. “Reinforcement learning for combinatorial optimization: A survey.” arXiv preprint arXiv:2003.03600(2020). [Under review in Computers & Operations Research, Journal]

Unpublished pre-prints: [2] Nina Mazyavkina, Ilya Trofimov, Samir Moustafa. “Optimizing the Neural Architecture of Reinforcement Learning Agents.” (2020).