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NeuroSymbolic AI Learns To Drive in GTA
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2023Feb 11
A neurosymbolic ai which combines deep learning in the form of neural nets with logic such as prolog learns to drive in GTA. In this video I give an overview of important AI algorithms and train a self-driving car in Grand Theft Auto: San Andreas. We begin by introducing the history of AI and introduce the neurosymbolic approach which combines the power of deep learning through neural networks with the symbolic approach, predicate logic. After we programmed our model using a neurosymbolic prolog extension the car is tested by driving around in gta. 00:00 - Intro 0:31 - Recent AI Hype 0:58 - History of AI 1:43 - Recent AI advances 2:45 - Self-Driving cars 4:43 - Current approach to create autonomous vehicles 6:58 - Deep learning explained 7:40 - Neurosymbolic ai introduction 8:44 - Simulation Environment: GTA San Andreas 9:33 - Neurosymbolic ai explained 14:38 - BREAK 1 15:12 - DeepProbLog explained 21:14 - Training of our self-driving car 22:51 - BREAK 2 23:30 - Testing model 1 24:40 - Testing model 2 25:43 - Testing final model (no traffic) 27:21 - Testing final model (with traffic) 29:31 - Outro Music used in video:    • Neurosymbolic AI soundtrack   Break 1 music: Prod. Fedia - Sky Temple Break 2 music: de de mouse 1 DeepProbLog: https://github.com/ML-KULeuven/deeppr... socials:   / xpookieee     / pookiexpookie   Tags: #ai #selfdrivingcar #computerscience #gta #programming #gtasanandreas #artificialintelligence #tesla #prolog #machinelearning

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