AgentGarten: Code Worlds for Evolving Agents

Published 14 October 2026

A new framework creates real-time interactive worlds by combining simulators, game engines, and a shared neural renderer. Agents learn by exploring these worlds and passing improved playbooks to later agents, reaching effective learning after only four experience rounds instead of millions in conventional reinforcement learning.