From 602d1322b0aca909e3fb235232ee5b630d957416 Mon Sep 17 00:00:00 2001
From: Benyahia Mohammed Oussama <mohammed.benyahia@etu.ec-lyon.fr>
Date: Sun, 2 Mar 2025 16:26:07 +0000
Subject: [PATCH] Edit README.md

---
 README.md | 2 --
 1 file changed, 2 deletions(-)

diff --git a/README.md b/README.md
index 6e4b290..c568c77 100644
--- a/README.md
+++ b/README.md
@@ -134,7 +134,5 @@ This project successfully applied reinforcement learning techniques to control b
 
 These results confirm the effectiveness of policy-gradient-based RL methods for solving **control and robotics problems**, highlighting the advantages of **actor-critic approaches** in stabilizing learning. Future work could explore more **advanced RL algorithms** (e.g., PPO, SAC) and extend experiments to **more complex robotic tasks**.
 
-Further improvements could include testing **PPO or SAC algorithms** for comparison and expanding experiments to **more complex robotic tasks**.
-
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-- 
GitLab