PhantomEnvironments: Training LLM Agents in Fictional Worlds
The research shows that training LLM agents using synthetic environments generated entirely by rules—called PhantomEnvironments—is a highly effective method. These environments require no human or LLM input to create, making them cheap and verifiable. Agents trained this way show significant transfer to real-world search tasks, learning how to scale their search effort effectively.