A coding agent using verifier-driven executable Python world models solves 15 of 25 public ARC-AGI-3 games with GPT-5.5 high reasoning effort, achieving 58.12% mean RHAE.
WorldCoder, a model-based LLM agent: Building world models by writing code and interacting with the environment
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Executable World Models for ARC-AGI-3 in the Era of Coding Agents
A coding agent using verifier-driven executable Python world models solves 15 of 25 public ARC-AGI-3 games with GPT-5.5 high reasoning effort, achieving 58.12% mean RHAE.