Deep RL Agent learns to play snake game from scratch

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  • Опубліковано 5 вер 2024

КОМЕНТАРІ • 7

  • @echohive
    @echohive  2 місяці тому +1

    Download the files for this project at my Patreon along with 250+ other projects:www.patreon.com/posts/deep-rl-agent-to-107075051
    Learn to code fast with my 1000x MasterClass: www.patreon.com/posts/1000x-dev-103326330\
    NOTE: I made a mistsake in the video. max_steps = 5000 is actually how long each game lasts if the re is no game over condition. max steps allowed in each game
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  • @Transforming-AI
    @Transforming-AI 2 місяці тому +2

    Very neat, @echohive .

    • @echohive
      @echohive  2 місяці тому +1

      Thank you 🙏

  • @andydataguy
    @andydataguy 2 місяці тому +2

    This is super interesting!! I'm excited to learn more. Would love to see your take on PPO agent design

    • @echohive
      @echohive  2 місяці тому +1

      Thank you 🙏 yeah, I would like to explore more of these concepts including evolutionary Algos and ppo as well.

  • @MichaelWoodrum
    @MichaelWoodrum 2 місяці тому

    Is there a way to integrate this learning into a model after training? That may be a dumb question. It's there a method to integrate the learning into an open AI model?

    • @echohive
      @echohive  2 місяці тому +1

      I am thinking somehow you could either why populating the context with certain selected text or by auto fine tuning. But I couldn’t think of a way to do this yet.