Anshveer Bindra, Tanish Kulkarni, Vedansh Saha, and Nipun Saha, four Indian teenagers, won a Meritorious Award at the International Mathematical Modelling Challenge (IM²C). ^[1] Researchers proposed COMAP, a novel framework that co-evolves textual world models and agent policies through closed-loop interaction. ^[2] The model addressed three converging threats: poaching, wildfires, and conflict between tourists and wildlife. ^[3] The team developed a mathematical model to optimize the deployment of rangers, drones, and satellites for Etosha National Park in Namibia. ^[4] The team placed among the top 11 teams out of 68 from 37 countries at the IM²C held in March. ^[5] At each decision step, the world model predicts future state feedback for candidate actions, and the agent performs future-aware reflection by estimating the reliability of this feedback and refining its action accordingly. ^[6] The COMAP framework enables agents to anticipate environment dynamics and evaluate candidate actions before execution by using a world model that adapts to on-policy state-action distributions. ^[7] The resulting on-policy trajectories are used to update the world model via self-distillation, allowing it to better match the agent's evolving interaction distribution. ^[8]