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Gym

Open source interface to reinforcement learning tasks
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What is Gym?

It is a toolkit for developing and comparing reinforcement learning algorithms. It supports teaching agents everything from walking to playing games like Pong or Pinball.
Gym is a tool in the Machine Learning Tools category of a tech stack.
Gym is an open source tool with 25.3K GitHub stars and 7.2K GitHub forks. Here’s a link to Gym's open source repository on GitHub

Who uses Gym?

Companies

Developers
19 developers on StackShare have stated that they use Gym.

Gym Integrations

Gym's Features

  • Reinforcement learning
  • Compatible with any numerical computation library

Gym Alternatives & Comparisons

What are some alternatives to Gym?
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
PyTorch
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
Keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
CUDA
A parallel computing platform and application programming interface model,it enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation.
See all alternatives

Gym's Followers
22 developers follow Gym to keep up with related blogs and decisions.