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Neetyabhas is a framework for uncertainty-aware public policy optimization using hierarchical reinforcement learning agents in agent-based epidemic simulations. It models individual behaviors (mask-wearing, vaccination, shopping) and policymaker interventions under uncertainty, demonstrating effective COVID-19 outbreak management.