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<a href="https://www.npmjs.com/package/gymie"><img alt="npm" src="https://img.shields.io/npm/v/gymie?label=NPM%20Package" /></a>
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<a href="https://pypi.org/project/gymie/"><img alt="PyPI" src="https://img.shields.io/pypi/v/gymie?label=PyPI%3A%20Gymie%20Server" /></a>
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<td width="20%"><img src="https://raw.githubusercontent.com/jscriptcoder/Gymie-Client/master/resources/Gymie-logo.svg" align="left" /></td>
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WebSocket client that consumes an API wrapping <a href="https://github.com/openai/gym">OpenAI Gym</a> or Gym-like environments such as <a href="https://github.com/openai/retro">Gym Retro</a> or <a href="https://github.com/Unity-Technologies/ml-agents">Unity ML-Agents</a>. Currently the best server is its counterpart <a href="https://github.com/jscriptcoder/Gymie-Server">Gymie-Server</a> 😉
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<img src="https://raw.githubusercontent.com/jscriptcoder/Gymie-Client/master/resources/Gymie-logo.svg" width="200" />
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WebSocket client that consumes an API wrapping <a href="https://github.com/openai/gym">OpenAI Gym</a> or Gym-like environments such as <a href="https://github.com/openai/retro">Gym Retro</a> or <a href="https://github.com/Unity-Technologies/ml-agents">Unity ML-Agents</a>. Currently the best server is its counterpart <a href="https://github.com/jscriptcoder/Gymie-Server">Gymie-Server</a> 😉
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## Content of this document
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- [Installation](#installation)

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