MuZero - Mastering Atari, Go, Chess, and Shogi by Planning with a Learned Model - RL Paper Explained

This course explores MuZero, an agent that excels in Go, Chess, Shogi, and Atari without human knowledge or rules. Participants will understand how MuZero learns to play without rules and how it models dynamics. The teaching method includes an overview of the AlphaGo lineage, explanation of MuZero actors, and discussions on its functioning and results. This course is suitable for individuals interested in reinforcement learning and AI advancements.