Add League Training to projects

content/projects/_index.en.md

@@ -8,7 +8,7 @@ math: true
   <img src="../../images/projects/cover.png" style="margin-top:0px;margin-bottom:30px;">
 </figure>
 
-This section contains a collection of projects that have been developed using DIAMBRA. 
+This section contains a collection of projects that have been developed using DIAMBRA.
 
 If you want to add yours, you can fork the <a href="https://github.com/diambra/docs" target="_blank">docs repo</a> and submit a Pull Request or get in touch on our <a href="https://diambra.ai/discord" target="_blank">Discord server</a> and send us the material.
 
@@ -17,6 +17,7 @@ If you want to add yours, you can fork the <a href="https://github.com/diambra/d
 
 <div style="font-size:1.125rem;">
 
+- <a href="./marlleaguetraining/">Multi Agent RL - League Training</a>
 - <a href="./rlztournament/">RLZ Tournament</a>
 - <a href="./gamepainter/">Game Painter</a>
 </div>

content/projects/gamePainter/_index.en.md

@@ -1,6 +1,6 @@
 ---
 title: Game Painter
-weight: 20
+weight: 30
 math: true
 ---
 

content/projects/marlLeagueTraining/_index.en.md

@@ -0,0 +1,25 @@
+---
+title: MARL - League Training
+weight: 10
+math: true
+---
+
+<!-- Image of the project -->
+<figure style="margin-bottom:0px; margin-top:0px; margin-right:auto; margin-left:auto; width: 100%;">
+  <img src="../../images/projects/marl.gif" style="margin-top:0px;margin-bottom:30px;">
+</figure>
+
+##### Project summary <!-- Brief description of the project -->
+
+This project is a proof of concept that customizes Tencent AI TLeague, a framework for Multi-Agent Reinforcement Learning based on distributed competitive self-play, and applies it to DIAMBRA Environments.
+
+##### Author(s) <!-- Project Authors (optionally add links to their linkedin page, github profile, etc) -->
+- Alessandro Palmas - DIAMBRA (<a href="https://www.linkedin.com/in/alessandropalmas/" target="_blank">linkedin</a>)
+
+##### References <!-- Add related links of interest, like: web pages, github repo, paper(s), linkedin pages -->
+- GitHub Repo: <a href="https://github.com/alexpalms/DIAMBRA-Arena-MARL-TLeague" target="_blank">https://github.com/alexpalms/DIAMBRA-Arena-MARL-TLeague</a>
+- Tencent AI Lab Reference Paper: <a href="https://arxiv.org/abs/2011.12895" target="_blank">TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning</a>
+- Paper Implementation GitHub Repo: <a href="https://github.com/tencent-ailab/TLeague" target="_blank">https://github.com/tencent-ailab/TLeague</a>
+
+<!-- ##### Sponsors <!-- Add sponsors (if any), with optional links to their website, linkedin page, etc) -->
+

content/projects/rlzTournament/_index.en.md

@@ -1,6 +1,6 @@
 ---
 title: RLZ Tournament
-weight: 10
+weight: 20
 math: true
 ---
 
@@ -24,7 +24,7 @@ Participants trained an AI algorithm to effectively play Dead Or Alive ++. The t
 
 ##### References <!-- Add related links of interest, like: web pages, github repo, paper(s), linkedin pages -->
 - Tournament Website: <a href="https://diambra.gitlab.io/website/aitournament/" target="_blank">https://diambra.gitlab.io/website/aitournament/</a>
-- RLZ Linkedin Page: <a href="https://www.linkedin.com/company/reinforcement-learning-zurich/" target="_blank">https://www.linkedin.com/company/reinforcement-learning-zurich/</a> 
+- RLZ Linkedin Page: <a href="https://www.linkedin.com/company/reinforcement-learning-zurich/" target="_blank">https://www.linkedin.com/company/reinforcement-learning-zurich/</a>
 - RLZ Meetup Page: <a href="https://www.meetup.com/Reinforcement-Learning-Zurich" target="_blank">https://www.meetup.com/Reinforcement-Learning-Zurich</a>
 
 <!-- ##### Sponsors <!-- Add sponsors (if any), with optional links to their website, linkedin page, etc) -->