Optimal control and reinforcement learning for formula one lap simulation

Optimal control and reinforcement learning for formula one lap simulation

Lap simulation in a Formula One context is a subclass of optimal control problems and describes the computation of optimal trajectories around racing circuits. The results of lap simulation are primarily used for vehicle setup and strategic racing decisions. The optimal lap problem is solved using t...

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Bibliographic Details
Main Author:	Hoeppke, C
Other Authors:	Nakatsukasa, Y
Format:	Thesis
Language:	English
Published:	2022
Subjects:	Reinforcement Learning Optimal control

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