UM-LPM/GIANT
GIANT is an open-source project that provides a flexible architecture for training intelligent agents using various machine learning techniques in diverse simulation environments.
This platform helps researchers and game developers train and evaluate intelligent agents within diverse simulation environments. It takes various machine learning techniques and metaheuristic frameworks, like Unity and EARS, as input to efficiently develop and test new solutions for single or multi-agent scenarios. This is for professionals building and optimizing AI behaviors in virtual worlds.
Use this if you need a flexible framework to train and evaluate AI agents using different machine learning methods within a game engine or other simulation.
Not ideal if you are looking for a pre-trained, off-the-shelf AI agent for a specific task rather than a platform for developing and testing new ones.
Stars
12
Forks
1
Language
C#
License
GPL-3.0
Category
Last pushed
Mar 13, 2026
Commits (30d)
0
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