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

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: ✅ Karpathy on AlphaGo: @karpathy/alphago-in-context-c47718cb95a5 ✅ Silver on UCB algo: ✅ MTCS explained: ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ ⌚️ 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 netwo