Autonomous Racing

My honours research project attempts to empirically validate the recent theoretical work by Wang 2025 . The research demonstrates that controlled stochasticity and compression creates more adaptable AIs than standard approaches (this is vague on purpose). Sorry I can only provide snippets about the project (i.e., the not actual mode nor actual paper).

• StackImitation Learning (RL), ML/CV (python)
• Paperil-snippet.pdf
• Repohttps://gitfront.io/r/GingerGem/Syfcp2NBSsze/gtav-racebot/