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Using Machine Learning we developed a system where we can train agents to partake in a simple fetch quest, as well as train opponents to add a challenge to this mechanic.

Home Page: https://youtu.be/gKv9OK5c2Qk

C# 98.80% HLSL 0.12% Objective-C++ 0.01% Dockerfile 0.01% Python 0.96% Shell 0.02% ShaderLab 0.09%

ml-multi-agent-capture-the-flag's Introduction

ML-Multi-Agent-Capture-The-Flag

Multi-Agent Capture the Flag was a project developed for the Machine Learning curricular unit at Iscte - University Institute of Lisbon. Make sure to check out Marco Rodrigues as he was the co-author for this project.

For a video of the end result, see this link.

Project

Using Machine Learning we developed a system where we can train agents to partake in a simple fetch quest, as well as train opponents to add a challenge to this mechanic.

For a first phase we implemented our own version of the Q-Learning Reinforcement Learning algorithm. We also implemented the same system using Unity's ML Agents to compare to our own implementation.

State Definition

// TODO

ml-multi-agent-capture-the-flag's People

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