Zixu Cheng

DynBudget: Adaptive Risk Calibration and Dynamic Budgeting for Safe Reinforcement Learning Under Distribution Drift

DynBudget, a closed-loop Safe RL framework integrating a learned safety critic, temperature-calibrated risk estimation, and a dynamic safety budget, is proposed and it is shown that shielding with dynamic budgets is an interpretable and viable approach to Safe RL in autonomous systems.