AlphaGo - Mastering the game of Go with deep neural networks and tree search | RL Paper Explained

❤️ Become The AI Epiphany Patreon ❤️ ► https://www.patreon.com/theaiepiphany ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ In this video, I cover the seminal AlphaGo paper - the first system to beat a professional Go player in the game of Go. A task previously considered beyond the reach of current AI systems and at least 10 years off into the future, but neural networks proved them wrong! You'll learn about: ✔️All of the nitty-gritty details around AlphaGo ✔️How MTCS and other subcomponents work ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ ✅ AlphaGo movie: https://www.youtube.com/watch?v=WXuK6gekU1Y&ab_channel=DeepMind ✅ Karpathy on AlphaGo: https://medium.com/@karpathy/alphago-in-context-c47718cb95a5 ✅ Silver on UCB algo: https://www.youtube.com/watch?v=sGuiWX07sKw&list=PLqYmG7hTraZBiG_XpjnPrSNw-1XQaM_gB&index=12&t=2370s&ab_channel=DeepMind ✅ MTCS explained: https://www.youtube.com/watch?v=UXW2yZndl7U ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ ⌚️ Timetable: 00:00 Intro 00:37 Context behind the game of Go 04:10 High-level overview of components - SL policies 07:25 RL policy network 09:30 The value network 11:15 Going deeper 16:30 Details around value network 19:05 Understanding the search (MTCS) 27:10 Evaluation of AlphaGo 33:30 Older techniques 34:40 Even more detailed explanation of APV-MTCS 37:40 Virtual loss 41:00 Engineering 45:30 Neural networks and symmetries ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 💰 BECOME A PATREON OF THE AI EPIPHANY ❤️ If these videos, GitHub projects, and blogs help you, consider helping me out by supporting me on Patreon! The AI Epiphany ► https://www.patreon.com/theaiepiphany One-time donation: https://www.paypal.com/paypalme/theaiepiphany Much love! ❤️ ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 💡 The AI Epiphany is a channel dedicated to simplifying the field of AI using creative visualizations and in general, a stronger focus on geometrical and visual intuition, rather than the algebraic and numerical "intuition". ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 👋 CONNECT WITH ME ON SOCIAL LinkedIn ► https://www.linked