From 1e034d493e2a2151e4225ec4b4f3ee07cf809c7e Mon Sep 17 00:00:00 2001
From: mlerik <baerenjesus@gmail.com>
Date: Tue, 16 Jul 2019 18:51:46 +0000
Subject: [PATCH] Update Multi_Agent_Training_Intro.md

---
 torch_training/Multi_Agent_Training_Intro.md | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/torch_training/Multi_Agent_Training_Intro.md b/torch_training/Multi_Agent_Training_Intro.md
index 569d7f0..d4eefae 100644
--- a/torch_training/Multi_Agent_Training_Intro.md
+++ b/torch_training/Multi_Agent_Training_Intro.md
@@ -245,9 +245,8 @@ We now use the normalized `agent_obs` for our training loop:
 
 Running the `multi_agent_training.py` file trains a simple agent to navigate to any random target within the railway network. After running you should see a learning curve similiar to this one:
 
-*Learning curve provided soon*
+![Learning_Curve](https://i.imgur.com/Po4j4yK.png)
 
 and the agent behavior should look like this:
 
-*Gif provided soon*
-
+![Conflict_Avoidence](https://i.imgur.com/AvBHKaD.gif)
-- 
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