most citedSolving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization

5 citations · 6 across the 3 of their papers we have counts for

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cs.LG2020★ 5 cited

Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization

Mikita Sazanovich, Anastasiya Nikolskaya, Yury Belousov +1

Black-box optimization is one of the vital tasks in machine learning, since it approximates real-world conditions, in that we do not always know all the properties of a given syste…

cs.LG2020

Imitation Learning Approach for AI Driving Olympics Trained on Real-world and Simulation Data Simultaneously

Mikita Sazanovich, Konstantin Chaika, Kirill Krinkin +1

In this paper, we describe our winning approach to solving the Lane Following Challenge at the AI Driving Olympics Competition through imitation learning on a mixed set of simulati…