agent-world-model-env-generation

Automatically synthesize executable RL training environments with database backends, Python tools, and task descriptions. Generate 1000+ diverse domains with 10K+ tasks enabling data-efficient tool-use agent training without manual scenario design.

Independent GitHub snapshot · Automated classification · Original documentation governs