From f70d479c12a1033737fe5e876a27e3289dbe87d6 Mon Sep 17 00:00:00 2001
From: Emmanuel Dellandrea <emmanuel.dellandrea@ec-lyon.fr>
Date: Tue, 6 Feb 2024 07:47:28 +0100
Subject: [PATCH] Update README.md

---
 README.md | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 233cf41..7babb1b 100644
--- a/README.md
+++ b/README.md
@@ -32,6 +32,10 @@ Make sure you know the basics of Reinforcement Learning. In case of need, you ca
 
 We recommend to use Python virtual environnements to install the required modules : https://docs.python.org/3/library/venv.html
 
+First, install Pytorch : https://pytorch.org/get-started/locally.
+
+Then install the following modules :
+
 
 ```sh
 pip install gym==0.26.2
@@ -174,7 +178,7 @@ Use the documentation of [Stable-Baselines3](https://stable-baselines3.readthedo
 
 ### Full workflow with panda-gym
 
-Panda-gym is a collection of environments for robotic simulation and control. It provides a range of challenges for training robotic agents in a simulated environment. In this section, you will get familiar with one of the environments provided by panda-gym, the `PandaReachJointsDense-v2`. The objective is to learn how to reach any point in 3D space by directly controlling the robot's articulations.
+[Panda-gym](https://github.com/qgallouedec/panda-gym) is a collection of environments for robotic simulation and control. It provides a range of challenges for training robotic agents in a simulated environment. In this section, you will get familiar with one of the environments provided by panda-gym, the `PandaReachJointsDense-v2`. The objective is to learn how to reach any point in 3D space by directly controlling the robot's articulations.
 
 #### Installation
 
-- 
GitLab