AlanLaboratory/UnrealMLAgents
The Unreal ML Agents Toolkit is an open-source project that enables Unreal Engine games and simulations to serve as environments for training intelligent agents using deep reinforcement learning. This project is a port of Unity ML-Agents, adapted to work within Unreal Engine.
This plugin helps Unreal Engine game developers and simulation creators train AI agents to behave intelligently within their virtual environments. It allows you to define tasks and rewards, then feeds the game state (like agent position and nearby objects) into a machine learning model. The output is an AI agent that learns to perform complex actions through trial and error, making games more dynamic or simulations more realistic.
No commits in the last 6 months.
Use this if you are an Unreal Engine developer looking to integrate deep reinforcement learning to train intelligent agents for game AI or complex simulations.
Not ideal if you need features like visual sensor inputs, imitation learning, or agent inference (running trained agents directly in-engine) right away, as these are still under development.
Stars
75
Forks
9
Language
Python
License
—
Category
Last pushed
Sep 17, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/agents/AlanLaboratory/UnrealMLAgents"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Higher-rated alternatives
Unity-Technologies/ml-agents
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables...
Unity-Technologies/ml-agents-dodgeball-env
Showcase environment for ML-Agents
Sebastian-Schuchmann/A.I.-Jumping-Cars-ML-Agents-Example
Ultimate Walkthrough Example for ML-Agents 1.0+ in Unity3D
Sebastian-Schuchmann/A.I.-Shooting-Game-ML-Agents-Unity-Example
A beginner friendly example for Unity's ML-Agents Framework. This project teaches you how to...
simoninithomas/ml-agents-snowball-fight
A multi-agent environment using Unity ML-Agents Toolkit