AI RESEARCH
Easy-to-Use Shielding for Reinforcement Learning
arXiv CS.LG
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ArXi:2606.03804v1 Announce Type: new Safe exploration is a key challenge in Reinforcement Learning (RL) that aims to prevent agents from making harmful decisions while exploring their environment. Safe exploration is a key challenge in Reinforcement Learning (RL) that aims to prevent agents from making harmful decisions while exploring their environment. Shielding is one such technique that assumes domain knowledge in the form of an environment model to decide upon action safety.