AgentGarten: Code Worlds for Evolving Agents
AgentGarten builds real-time interactive environments by coupling simulators/game engines with a shared neural renderer. It addresses the challenge of creating faithful and realistic worlds for agents by allowing environments to be written as code, enabling them to scale in complexity. The framework shows agents can learn substantially faster, requiring only four interaction rounds compared to millions for traditional reinforcement learning.