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Unpublished pre-prints:  Nina Mazyavkina, Ilya Trofimov, Samir Moustafa.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