most citedPractical Reinforcement Learning For MPC: Learning from sparse objectives in under an hour on a real robot

6 citations · 6 across the 1 of their papers we have counts for

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2 papers

cs.RO2020★ 6 cited

Practical Reinforcement Learning For MPC: Learning from sparse objectives in under an hour on a real robot

Napat Karnchanachari, Miguel I. Valls, David Hoeller +1

Model Predictive Control (MPC) is a powerful control technique that handles constraints, takes the system's dynamics into account, and optimizes for a given cost function. In pract…

cs.RO2019

AMZ Driverless: The Full Autonomous Racing System

Juraj Kabzan, Miguel de la Iglesia Valls, Victor Reijgwart +19

This paper presents the algorithms and system architecture of an autonomous racecar. The introduced vehicle is powered by a software stack designed for robustness, reliability, and…