Edwin Hamel-De le Court
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126
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2026
Robust Shielding for Safe Reinforcement Learning
The paper introduces a novel shielding framework for Robust MDPs (RMDPs) that guarantees safety under worst-case transition probabilities, enabling safe reinforcement learning even when transition dynamics are unknown.
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