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Safe and Efficient Reinforcement Learning for Environmental Monitoring., , , , , , , and . Ital-IA, volume 3486 of CEUR Workshop Proceedings, page 610-615. CEUR-WS.org, (2023)Verifying Learning-Based Robotic Navigation Systems., , , , , , and . TACAS (1), volume 13993 of Lecture Notes in Computer Science, page 607-627. Springer, (2023)Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks., , , , , and . ICAR, page 640-645. IEEE, (2021)Rigorous Probabilistic Guarantees for Robust Counterfactual Explanations., , , and . CoRR, (2024)Enumerating Safe Regions in Deep Neural Networks with Provable Probabilistic Guarantees., , , , and . AAAI, page 21387-21394. AAAI Press, (2024)Online Safety Property Collection and Refinement for Safe Deep Reinforcement Learning in Mapless Navigation., , and . ICRA, page 7133-7139. IEEE, (2023)Scaling #DNN-Verification Tools with Efficient Bound Propagation and Parallel Computing (regular paper)., , and . AIRO@AI*IA, volume 3686 of CEUR Workshop Proceedings, page 92-106. CEUR-WS.org, (2023)Curriculum learning for safe mapless navigation., , , and . SAC, page 766-769. ACM, (2022)The #DNN-Verification Problem: Counting Unsafe Inputs for Deep Neural Networks., , , and . IJCAI, page 217-224. ijcai.org, (2023)Safe Deep Reinforcement Learning by Verifying Task-Level Properties., , , and . AAMAS, page 1466-1475. ACM, (2023)