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Davide Tateo

1 paper indexed

arxivcs.ROcs.LG2026-07-14

Directional Constraints for Efficient Exploration in Safe Reinforcement Learning

Paolo Magliano, Puze Liu, Jan Peters, Davide Tateo, Raffaello Camoriano

Reinforcement Learning has revolutionized the landscape of robotic research, allowing robust learning of complex robotic skills in simulation. However, real-world deployment in open-ended environments requires strong safety guarantees to prevent dangerous or harmful behaviors. Sa…

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