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

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

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

Poslechněte si podcast

3. 4. 2020

1 hod 48 min

O epizodě podcastu

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: https://masterclass.com/lex - Cash App - use code "LexPodcast" and download: - Cash App (App Store): https://apple.co/2sPrUHe - Cash App (Google Play): https://bit.ly/2MlvP5w 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: https://masterclass.com/lex
– Cash App – use code “LexPodcast” and download:
– Cash App (App Store): https://apple.co/2sPrUHe
– Cash App (Google Play): https://bit.ly/2MlvP5w

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

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Conversations about science, technology, history, philosophy and the nature of intelligence, consciousness, love, and power. Lex is an AI researcher at MIT and beyond.