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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.