Bachelorthesis: Controlling Race Cars with Deep ANNs

Delving into the realm of self-driving cars for my bachelor’s thesis, I endeavored to optimize their tactical decisions, particularly speed, using cutting-edge deep neural networks and reinforcement learning in tensorflow within a transformed racing simulation. The resulting research platform, built on Unity, showcased the potential of real-time feedback and adaptability, offering valuable insights into the future integration of reinforcement learning in self-driving cars. [Read More]

Bachelorthesis

Controlling Self-Driving Race Cars with Deep Neural Networks

Disclaimer: This article was written by chatgpt, as can easily be seen by its style

Embarking on the journey of my bachelor’s thesis, I delved into the captivating world of self-driving cars, aiming to redefine their capabilities by focusing on the often-neglected tactical decisions, particularly optimizing speed.

Motivation: Unraveling the Dynamics of Self-Driving Cars

Self-driving cars have become a technological marvel, with my motivation rooted in unraveling the intricacies of their operational capabilities. While conventional approaches focus on safety and environmental understanding, my curiosity led me to explore the tactical dimension, specifically the optimization of speed in racing simulations.

[Read More]

Bachelorthesis

Controlling Self-Driving Race Cars with Deep Neural Networks

Disclaimer: This article was written by chatgpt, as can easily be seen by its style

Embarking on the journey of my bachelor’s thesis, I delved into the captivating world of self-driving cars, aiming to redefine their capabilities by focusing on the often-neglected tactical decisions, particularly optimizing speed.

Motivation: Unraveling the Dynamics of Self-Driving Cars

Self-driving cars have become a technological marvel, with my motivation rooted in unraveling the intricacies of their operational capabilities. While conventional approaches focus on safety and environmental understanding, my curiosity led me to explore the tactical dimension, specifically the optimization of speed in racing simulations.

[Read More]