Python Code, book & more: Reinforcement Learning  #DataScience #machinelearning #deeplearning

  • The repository provides code, exercises and solutions for popular Reinforcement Learning algorithms.
  • All code is written in Python 3 and uses RL environments from OpenAI Gym .
  • Exercises and Solutions to accompany Sutton’s Book and David Silver’s course.
  • Latest commit f117e5d Nov 27, 2016 dennybritz committed on GitHub Merge pull request #36 from alvarosg/bug-epsilons-total-t
  • In addition to exercises and solution, each folder also contains a list of learning goals, a brief concept summary, and links to the relevant readings.

reinforcement-learning – Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton’s Book and David Silver’s course.
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Messing around with OpenAI Gym – craftworkz

Ever heard of @OpenAI? We did some research...  #ai #openai #ArtificialIntelligence

  • OpenAI Gym is a cool platform for anybody involved with reinforcement learning algorithms.
  • To be clear, OpenAI Gym doesn’t power any algorithms itself, leaving it up to more specialised packages like TensorFlow or Theano.
  • The platform will allow you to test your algorithms in a variety of different environments without having to go through the hassle of making the right inputs available to your algorithm.
  • Data scientist at Craftworkz designing chatbots and developing robotics applications
  • That’s right, you can test the performance of your reinforcement learning algorithms on a variety of different atari games and what’s more, you can automatically upload the performance of your algorithms and compare them to other people’s approaches.

So while I was looking around for interesting Python-based AI projects I came across OpenAI Gym, backed by mister Elon Musk himself. This application aims to provide the ultimate sandbox environment…
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Deep #ReinforcementLearning for #Keras: state-of-the art #DeepLearning in #Python

  • In a nutshell: keras-rl makes it really easy to run state-of-the-art deep reinforcement learning algorithms, uses Keras and Theano and TensorFlow and was built with OpenAI Gym in mind.
  • keras-rl implements some state-of-the art deep reinforcement learning algorithms in Python and seamlessly integrates with the deep learning library Keras .
  • You can extend keras-rl according to your own needs.
  • The repo provides some weights that were obtained by running (at least some) of the examples that are included in keras-rl .
  • Keras-rl works with OpenAI Gym out of the box.

Read the full article, click here.

@kdnuggets: “Deep #ReinforcementLearning for #Keras: state-of-the art #DeepLearning in #Python”

keras-rl – Deep Reinforcement Learning for Keras.