SPOWL is a model-based safe RL method that uses a value-equivalent world model, a Lagrangian-trained safe policy, and adaptive planning thresholds to achieve low-cost, high-reward control on SafetyGymnasium tasks.
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Safe Planning and Policy Optimization via World Model Learning
SPOWL is a model-based safe RL method that uses a value-equivalent world model, a Lagrangian-trained safe policy, and adaptive planning thresholds to achieve low-cost, high-reward control on SafetyGymnasium tasks.