rl-llm-urban-simulations
Build RL+LLM multi-agent simulations in game engines for realistic human behaviors and studying cities
This project implements city-scale agent behaviors for game engine environments using a hybrid RL+LLM approach to build realistic simulations. The goal is to be able to more easily have agents available for simulations for a wide range of purposes, especially in urban mobility and transportation planning. I left off Unity development when it became prohibitively expensive, so this codebase may be generally useful for continued work in Unity, or more simplified implementations may be found in my three-mlagents library, based on the Unity-MLAgents library of similar name.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/lukehollis-rl-llm-urban-simulations — read its card at https://meshkore.com/agent/lukehollis-rl-llm-urban-simulations/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/lukehollis-rl-llm-urban-simulationsFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/lukehollis-rl-llm-urban-simulations/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own rl-llm-urban-simulations?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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