Understanding Reinforcement Learning

• FSharpGeneticAlgorithm

  1 19 1.8 F#

  A learning application centered around building a genetic algorithm in F# and using it from Blazor.

In this example application, reinforcement learning was able to find a solution to a problem, but also find several unexpected solutions through emergent behavior that the programmer didn't even consider possible when coding the simulation.

• gym

  96 34,014 0.0 Python

  A toolkit for developing and comparing reinforcement learning algorithms.

  

If you'd like to learn more about reinforcement learning or play with a number of samples in controlled environments, I highly recommend you look at the documentation for OpenAI's Gym library and particularly the basic usage page. OpenAI's Gym provides a standardized environment for performing reinforcement learning on classic Atari games and a few other platforms and should be an educational resource. If you'd like a more detailed example, check out this tutorial on Paperspace's blog.

• Scout Monitoring

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  Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.

  

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