Implementing an Open Source Agent57

Having a YouTube channel has brought me a number of fantastic opportunities over the years. One of my favorites was working on a project to implement an open source agent 57. In this video I'll talk a little about how A57 works and how I worked with a team of Ukranian developers to implement an open source version.

If you want to contribute to the project, check it out here:
https://github.com/PatternsandPredictions/DRLearner_beta

You can find a written version of this article with some more details here:
https://www.neuralnet.ai/towards-an-open-source-agent57/

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Or, pickup my Udemy courses here:

Deep Q Learning:
https://www.udemy.com/course/deep-q-learning-from-paper-to-code/?couponCode=DQN-JUNE-22

Actor Critic Methods:
https://www.udemy.com/course/actor-critic-methods-from-paper-to-code-with-pytorch/?couponCode=AC-JUNE-22

Curiosity Driven Deep Reinforcement Learning
https://www.udemy.com/course/curiosity-driven-deep-reinforcement-learning/?couponCode=ICM-JUNE-22

Natural Language Processing from First Principles:
https://www.udemy.com/course/natural-language-processing-from-first-principles/?couponCode=NLP1-JUNE-22

Just getting started in deep reinforcement learning? Check out my intro level course through Manning Publications.

Reinforcement Learning Fundamentals
https://www.manning.com/livevideo/reinforcement-learning-in-motion

Here are some books / courses I recommend (affiliate links):
Grokking Deep Learning in Motion: https://bit.ly/3fXHy8W
Grokking Deep Learning: https://bit.ly/3yJ14gT
Grokking Deep Reinforcement Learning: https://bit.ly/2VNAXql

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Видео Implementing an Open Source Agent57 канала Machine Learning with Phil