lukehollis/rl-llm-urban-simulations
Build RL+LLM multi-agent simulations in game engines for realistic human behaviors and studying cities
This system helps urban planners, transportation analysts, and logistics managers create highly realistic simulations of city-scale human behavior. It takes demographic data and environmental factors as input, then generates a diverse population of virtual agents who make complex decisions about transportation, interactions, and even disease spread within a game engine environment. The output is a dynamic, visual simulation that models how people move and behave in a city.
Use this if you need to model complex human interactions and movements in urban environments to inform planning decisions or test logistical strategies.
Not ideal if you are looking for simple traffic flow models or don't require the detailed, individual agent behaviors this system provides.
Stars
37
Forks
4
Language
C#
License
—
Category
Last pushed
Dec 19, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/agents/lukehollis/rl-llm-urban-simulations"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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
AlanLaboratory/UnrealMLAgents
The Unreal ML Agents Toolkit is an open-source project that enables Unreal Engine games and...
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...