Explore the groundbreaking MuZero agent, the latest in the AlphaGo lineage, in this comprehensive video explanation. Dive into how MuZero masters Atari, Go, Chess, and Shogi without prior knowledge of game rules. Learn about the agent's innovative actors, its ability to learn dynamics and models, and the revolutionary learner system. Discover the impressive results achieved across various games and understand the updates made to the search algorithm. Gain insights into reinforcement learning techniques and their applications in mastering complex games through this in-depth analysis of the MuZero paper.
MuZero - Mastering Atari, Go, Chess, and Shogi by Planning with a Learned Model - RL Paper Explained
Aleksa Gordić - The AI Epiphany via YouTube
Overview
Syllabus
Overview of the AlphaGo lineage
MuZero actors explained
How can MuZero work without any rules?
MuZero learner explained
Results
Update to the search algorithm
Taught by
Aleksa Gordić - The AI Epiphany
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