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samvelyan merged 1 commit into from
Feb 14, 2025
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Added the banners back #12

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13 changes: 10 additions & 3 deletions README.md
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<img width="80%" src="https://raw.githubusercontent.com/facebookresearch/minihack/main/docs/imgs/minihack.png" />
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<p align="center">
<b>Please find MiniHack at its new home at <a href="https://github.com/samvelyan/minihack">github.com/samvelyan/minihack</a></b>
</p>
<a href="https://pypi.python.org/pypi/minihack/"><img src="https://img.shields.io/pypi/v/minihack.svg" /></a>
<a href="https://opensource.org/licenses/Apache-2.0"><img src="https://img.shields.io/badge/License-Apache%202.0-blue.svg" /></a>
<a href="https://minihack.readthedocs.io/en/latest/?badge=latest"><img src="https://readthedocs.org/projects/minihack/badge/?version=latest" /></a>
<a href="https://pepy.tech/project/minihack"><img src="https://static.pepy.tech/personalized-badge/minihack?period=total&units=international_system&left_color=black&right_color=red&left_text=Downloads" /></a>
<a href="https://github.com/facebookresearch/minihack/actions/workflows/test_and_deploy.yml"><img src="https://github.com/facebookresearch/minihack/actions/workflows/test_and_deploy.yml/badge.svg?branch=main" /></a>
<a href="https://arxiv.org/abs/2109.13202"><img src="https://img.shields.io/badge/arXiv-2109.13202-b31b1b.svg"/></a>
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MiniHack is a sandbox framework for easily designing rich and diverse environments for Reinforcement Learning (RL).
Based on the game of [NetHack](https://en.wikipedia.org/wiki/NetHack), MiniHack uses the [NetHack Learning Environment (NLE)](https://github.com/heiner/nle) to communicate with the game and to provide a convenient interface for customly created RL training and test environments of varying complexity.
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