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Give that model a treat! : Reinforcement learning explained

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Manage episode 268430160 series 2770146
Content provided by Lucas Dixon and People + AI Research. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Lucas Dixon and People + AI Research or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Switching gears, we focus on how Yannick’s been training his model using reinforcement learning. He explains the differences from David’s supervised learning approach. We find out how his system performs against a player that makes random tic-tac-toe moves.

Resources:

Deep Learning for JavaScript book

Playing Atari with Deep Reinforcement Learning

Two Minute Papers episode on Atari DQN

For more information about the show, check out pair.withgoogle.com/thehardway/.

You can reach out to the hosts on Twitter: @dweinberger and @tafsiri.

  continue reading

10 episodes

Artwork
iconShare
 
Manage episode 268430160 series 2770146
Content provided by Lucas Dixon and People + AI Research. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Lucas Dixon and People + AI Research or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Switching gears, we focus on how Yannick’s been training his model using reinforcement learning. He explains the differences from David’s supervised learning approach. We find out how his system performs against a player that makes random tic-tac-toe moves.

Resources:

Deep Learning for JavaScript book

Playing Atari with Deep Reinforcement Learning

Two Minute Papers episode on Atari DQN

For more information about the show, check out pair.withgoogle.com/thehardway/.

You can reach out to the hosts on Twitter: @dweinberger and @tafsiri.

  continue reading

10 episodes

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