Driving trainer with ML-Agents
García Villegas, Alejandro (2023)
García Villegas, Alejandro
2023
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2023060621906
https://urn.fi/URN:NBN:fi:amk-2023060621906
Tiivistelmä
Artificial intelligence has witnessed remarkable progress in recent years, with machine learning being a crucial milestone in transforming the field. Reinforcement learning, a model that trains an algorithm through trial and error, has emerged as a significant breakthrough with the potential to revolutionize various industries, including the automotive sector.
This thesis aimed to create a program capable of training a car to complete a road using the user’s driving example as input. A program in Unity was developed to achieve the objective, which uses reinforcement learning to train the model.
This thesis aimed to create a program capable of training a car to complete a road using the user’s driving example as input. A program in Unity was developed to achieve the objective, which uses reinforcement learning to train the model.