diff --git a/README.md b/README.md
index e05721b25d2a386254d7b9678ad43ef1d92631b5..21327eff51c8479ebc93f739b8aaa46dd7b3f578 100644
--- a/README.md
+++ b/README.md
@@ -176,6 +176,8 @@ Use the documentation of [Stable-Baselines3](https://stable-baselines3.readthedo
 > ⚠️ **Warning**
 > Make sure to make the run public! If it is not possible (due to the restrictions on your account), you can create a WandB [report](https://docs.wandb.ai/guides/reports/create-a-report/), add all relevant graphs and any textual descriptions or explanations you find pertinent, then download a PDF file (landscape format) and upload it along with the code to GitLab. Make sure to arrange the plots in a way that makes them understandable in the PDF (e.g., one graph per row, correct axes, etc.). Specify which report corresponds to which experiment.
 
+LINK: https://wandb.ai/lennartecl-centrale-lyon/sb3?nw=nwuserlennartecl
+
 ### Full workflow with panda-gym
 
 [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-v3`. The objective is to learn how to reach any point in 3D space by directly controlling the robot's articulations.