From 09aa4987b9590da493f4209922ef2bd87955b61c Mon Sep 17 00:00:00 2001
From: Mikayel Samvelyan <mika.samvelyan@gmail.com>
Date: Thu, 6 Mar 2025 21:21:06 +0000
Subject: [PATCH] Update README.md

---
 README.md | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/README.md b/README.md
index 7964893..89d65af 100644
--- a/README.md
+++ b/README.md
@@ -13,6 +13,9 @@
 
 -------------------------------------------------------------------------------------------------------------------------------------------------------
 
+> __Update__
+> MiniHack now supports the [Gymnasium API](https://github.com/Farama-Foundation/Gymnasium) and runs on [NLE 1.1.0](https://github.com/heiner/nle). Big thanks to [@StephenOman](https://github.com/StephenOman) for this contribution!
+
 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.
 Check out our [NeurIPS 2021 paper](https://arxiv.org/abs/2109.13202) and recent [blogpost](https://ai.facebook.com/blog/minihack-a-new-sandbox-for-open-ended-reinforcement-learning).