From 9f5244d9be60cbdf66b092b7d2eb23c83810858b Mon Sep 17 00:00:00 2001
From: Nima Maghooli <90987859+nima-maghooli@users.noreply.github.com>
Date: Sun, 1 Oct 2023 15:17:34 +0330
Subject: [PATCH] Update index.html

---
 index.html | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/index.html b/index.html
index 162750f..60c4fb7 100644
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@@ -295,7 +295,7 @@ <h5>2021 - Present</h5>
               <ul>
                 <li><strong>Supervisor: </strong> <span>Prof. S. Ali A. Moosavian</li>
                 <li><strong>Published Paper: </strong> <span>Self-Tuning Robust Tracking Control for Autonomous Underwater Vehicles [<a href="https://ieeexplore.ieee.org/document/10025058">Link</a>]</li>
-                <li><strong>Submitted Paper: </strong> <span>Adjusted MTJ Control Strategy using Deep Reinforcement Learning for Tendon-Driven Continuum Manipulators [<a href="https://github.com/nima-maghooli/nima-maghooli.github.io/blob/main/assets/img/Adjusted%20MTJ%20Control%20Strategy%20using%20Deep%20Reinforcement%20Learning%20for%20Tendon-Driven%20Continuum%20Manipulators.pdf">Link</a>]</li>  
+                <li><strong>Submitted Paper: </strong> <span>Adjusted MTJ Control Strategy using Deep Reinforcement Learning for Tendon-Driven Continuum Manipulators [<a href="https://github.com/nima-maghooli/nima-maghooli.github.io/blob/main/assets/img/SubmittedPaper1.pdf">Link</a>]</li>  
                 <li><strong>Submitted Paper: </strong> <span>Intelligent Gain Adaptation for Model-Free Control of Tendon-Driven Continuum Robotic Arms using Fuzzy Inference System [<a href="https://ieeexplore.ieee.org/document/10025058">Link</a>]</li>
                 <li><strong>In Progress: </strong> <span>Optimal-Adaptive Control using Deep Reinforcement Learning for Continuum Manipulators</li>
               </ul>