Search Results for author: Konstantin Chaika

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

no code implementations7 Jul 2020 Mikita Sazanovich, Konstantin Chaika, Kirill Krinkin, Aleksei Shpilman

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 simulation and real-world data.

Imitation Learning

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