From 33ad6bbab5003d15b823cb1c5977f740366a59c4 Mon Sep 17 00:00:00 2001
From: oscarchaufour <101994223+oscarchaufour@users.noreply.github.com>
Date: Tue, 27 Feb 2024 23:03:44 +0100
Subject: [PATCH] Update README.md

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 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 0625bf0..53a5af8 100644
--- a/README.md
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 This TD introduces different algorithms, frameworks and tools used in Reinforcement Learning. The methods are applied to the robotic field: a Cartpole and the PandaReachJointsDense environment. 
 
 ## REINFORCE
-The REINFORCE algorithm is used to solve the Cartpole environment. The plot showing the total reward accross episodes can be seen below: ![Alt text](images/reinforce_rewards.png)
+The REINFORCE algorithm is used to solve the Cartpole environment. The plot showing the total reward accross episodes can be seen below: ![Alt text](images/reinforce_rewards.png) \n
 The python script used is: reinforce_cartpole.py.
 
 ## Familiarization with a complete RL pipeline: Application to training a robotic arm
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