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Context
This project have been conducted in a group of 3 for a lecture at TU Wien. The goal was to apply machine learning techniques.
Project
In this project, we solve the problem of finding the optimal (fastest) trajectory a car can take in a curve. We use a Monte-Carlo approach for optimizing the reinforcement learning formulation of the problem. In other words, we simulate a racing car and reward it choices based on the time it took to reach the finish line. The goal of the model was to maximize this reward !
This video illustrates how the different generations of paths looks like.
