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#86 – David Silver: AlphaGo, AlphaZero, and Deep Reinforcement Learning

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David Silver leads the reinforcement learning research group at DeepMind and was lead researcher on AlphaGo, AlphaZero and co-lead on AlphaStar, and MuZero and lot of important work in reinforcement learning.

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EPISODE LINKS:
Reinforcement learning (book): https://amzn.to/2Jwp5zG

This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts, follow on Spotify, or support it on Patreon.

Here's the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time.

OUTLINE:
00:00 - Introduction
04:09 - First program
11:11 - AlphaGo
21:42 - Rule of the game of Go
25:37 - Reinforcement learning: personal journey
30:15 - What is reinforcement learning?
43:51 - AlphaGo (continued)
53:40 - Supervised learning and self play in AlphaGo
1:06:12 - Lee Sedol retirement from Go play
1:08:57 - Garry Kasparov
1:14:10 - Alpha Zero and self play
1:31:29 - Creativity in AlphaZero
1:35:21 - AlphaZero applications
1:37:59 - Reward functions
1:40:51 - Meaning of life

David Silver leads the reinforcement learning research group at DeepMind and was lead researcher on AlphaGo, AlphaZero and co-lead on AlphaStar, and MuZero and lot of important work in reinforcement learning.
Support this podcast by signing up with these sponsors: 
– MasterClass: <a href="https://masterclass.com/lex">https://masterclass.com/lex</a> 
– Cash App – use code “LexPodcast” and download: 
– Cash App (App Store): <a href="https://apple.co/2sPrUHe">https://apple.co/2sPrUHe</a> 
– Cash App (Google Play): <a href="https://bit.ly/2MlvP5w">https://bit.ly/2MlvP5w</a>
EPISODE LINKS: 
Reinforcement learning (book): https://amzn.to/2Jwp5zG
This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to <a href="https://lexfridman.com/ai">https://lexfridman.com/ai</a> or connect with @lexfridman on <a href="https://twitter.com/lexfridman">Twitter</a>, <a href="https://www.linkedin.com/in/lexfridman/">LinkedIn</a>, <a href="https://www.facebook.com/lexfridman">Facebook</a>, <a href="https://medium.com/@lexfridman">Medium</a>, or <a href="https://www.youtube.com/lexfridman">YouTube</a> where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on <a href="https://podcasts.apple.com/us/podcast/artificial-intelligence/id1434243584">Apple Podcasts</a>, follow on <a href="https://open.spotify.com/show/2MAi0BvDc6GTFvKFPXnkCL">Spotify</a>, or support it on <a href="https://www.patreon.com/lexfridman">Patreon</a>.
Here’s the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time.
OUTLINE: 
00:00 – Introduction 
04:09 – First program 
11:11 – AlphaGo 
21:42 – Rule of the game of Go 
25:37 – Reinforcement learning: personal journey 
30:15 – What is reinforcement learning? 
43:51 – AlphaGo (continued) 
53:40 – Supervised learning and self play in AlphaGo 
1:06:12 – Lee Sedol retirement from Go play 
1:08:57 – Garry Kasparov 
1:14:10 – Alpha Zero and self play 
1:31:29 – Creativity in AlphaZero 
1:35:21 – AlphaZero applications 
1:37:59 – Reward functions 
1:40:51 – Meaning of life

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#86 – David Silver: AlphaGo, AlphaZero, and Deep Reinforcement Learning

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