Two Minute Papers explores the paper “Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model.”

Two Minute Papers explores the paper “Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model.”
Two Minute Papers explores the paper “AlphaStar: Grandmaster level in StarCraft II using multi-agent reinforcement learning” in this video.
In this video, Lex Fridman interviews Oriol Vinyals, a senior research scientist at Google DeepMind.
From the video description:
Before that he was at Google Brain and Berkeley. His research has been cited over 39,000 times. He is one of the most brilliant and impactful minds in the field of deep learning. He is behind some of the biggest papers and ideas in AI, including sequence to sequence learning, audio generation, image captioning, neural machine translation, and reinforcement learning. He is a co-lead (with David Silver) of the AlphaStar project, creating an agent that defeated a top professional at the game of StarCraft.
In this video, Siraj Raval explores the work behind the creation of DeepMind’s AlphaStar, which pushes AI to the next level.
In this video, Two Minute Papers explores DeepMind’s AlphaStar.
AlphaStar is the first Artificial Intelligence to defeat a top professional player at StarCraft II.
In a series of test matches held on 19 December 2018, AlphaStar decisively beat Team Liquid’s Grzegorz “MaNa” Komincz, one of the world’s strongest professional StarCraft players, 5-0, following a successful benchmark match against his team-mate Dario “TLO” Wünsch.
The matches took place under professional match conditions on a competitive ladder map and without any game restrictions.