From d7378d1ad2e1ecd4638b8dc4ec1b175bf171e918 Mon Sep 17 00:00:00 2001
From: JungHoon Lee <1620497@gmail.com>
Date: Fri, 7 Apr 2023 16:40:40 +0900
Subject: [PATCH] fix minor typo

---
 units/en/unit3/hands-on.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/units/en/unit3/hands-on.mdx b/units/en/unit3/hands-on.mdx
index f0a7d4e..8c8080a 100644
--- a/units/en/unit3/hands-on.mdx
+++ b/units/en/unit3/hands-on.mdx
@@ -38,7 +38,7 @@ And you can check your progress here 👉 https://huggingface.co/spaces/ThomasSi
 
 <img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit4/thumbnail.jpg" alt="Unit 3 Thumbnail">
 
-In this notebook, **you'll train a Deep Q-Learning agent** playing Space Invaders using [RL Baselines3 Zoo](https://github.com/DLR-RM/rl-baselines3-zoo), a training framework based on [Stable-Baselines3](https://stable-baselines3.readthedocs.io/en/master/) that provides scripts for training, evaluating agents, tuning arameters, plotting results and recording videos.
+In this notebook, **you'll train a Deep Q-Learning agent** playing Space Invaders using [RL Baselines3 Zoo](https://github.com/DLR-RM/rl-baselines3-zoo), a training framework based on [Stable-Baselines3](https://stable-baselines3.readthedocs.io/en/master/) that provides scripts for training, evaluating agents, tuning parameters, plotting results and recording videos.
 
 We're using the [RL-Baselines-3 Zoo integration, a vanilla version of Deep Q-Learning](https://stable-baselines3.readthedocs.io/en/master/modules/dqn.html) with no extensions such as Double-DQN, Dueling-DQN, and Prioritized Experience Replay.