most citedSim-to-real reinforcement learning applied to end-to-end vehicle control

12 citations · 12 across the 1 of their papers we have counts for

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cs.RO2020

Robust Reinforcement Learning-based Autonomous Driving Agent for Simulation and Real World

Péter Almási, Róbert Moni, Bálint Gyires-Tóth

Deep Reinforcement Learning (DRL) has been successfully used to solve different challenges, e.g. complex board and computer games, recently. However, solving real-world robotics ta…