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55<p align =" center " >
6- <a href =" https://github.com/heiner/nle/actions/workflows/test_and_deploy.yml " >
7- <img src="https://github.com/heiner/nle/actions/workflows/test_and_deploy.yml/badge.svg?branch=main" />
8- </a >
9- <a href =" https://pypi.python.org/pypi/nle/ " >
10- <img src="https://img.shields.io/pypi/v/nle.svg" />
11- </a >
12- <a href =" https://pepy.tech/project/nle " >
13- <img src="https://static.pepy.tech/personalized-badge/nle?period=total&units=international_system&left_color=black&right_color=orange&left_text=Downloads" />
14- </a >
15- <a href =" https://twitter.com/NetHack_LE " >
16- <img src="https://img.shields.io/twitter/follow/NetHack_LE?label=Twitter&style=social" alt="Twitter" />
17- </a >
6+ <a href =" https://github.com/heiner/nle/actions/workflows/test_and_deploy.yml " ><img src =" https://github.com/heiner/nle/actions/workflows/test_and_deploy.yml/badge.svg?branch=main " /></a >
7+ <a href =" https://pypi.python.org/pypi/nle/ " ><img src =" https://img.shields.io/pypi/v/nle.svg " /></a >
8+ <a href =" https://pepy.tech/project/nle " ><img src =" https://static.pepy.tech/personalized-badge/nle?period=total&units=international_system&left_color=black&right_color=orange&left_text=Downloads " /></a >
9+ <a href =" https://twitter.com/NetHack_LE " ><img src =" https://img.shields.io/twitter/follow/NetHack_LE?label=Twitter&style=social " alt =" Twitter " /></a >
1810 </p >
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2012The NetHack Learning Environment (NLE) is a Reinforcement Learning environment originally presented at [ NeurIPS 2020] ( https://neurips.cc/Conferences/2020 ) .
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