{"total":18,"rows":[{"id":"2405.13863","title":"Dynamic Model Predictive Shielding for Provably Safe Reinforcement Learning","created":"2024-05-22","cited_by_count":15,"area":"deeprl"},{"id":"2503.07671","title":"Probabilistic Shielding for Safe Reinforcement Learning","created":"2025-03-09","cited_by_count":12,"area":"deeprl"},{"id":"2405.18180","title":"Safe Reinforcement Learning in Black-Box Environments via Adaptive Shielding","created":"2024-05-28","cited_by_count":6,"area":"deeprl"},{"id":"2402.00816","title":"Leveraging Approximate Model-based Shielding for Probabilistic Safety Guarantees in Continuous Environments","created":"2024-02-01","cited_by_count":5,"area":"deeprl"},{"id":"2410.02038","title":"Realizable Continuous-Space Shields for Safe Reinforcement Learning","created":"2024-10-02","cited_by_count":3,"area":"deeprl"},{"id":"2410.07359","title":"Learning-Based Shielding for Safe Autonomy under Unknown Dynamics","created":"2024-10-07","cited_by_count":3,"area":"deeprl"},{"id":"2510.18082","title":"Provably Optimal Reinforcement Learning under Safety Filtering","created":"2025-10-20","cited_by_count":3,"area":"deeprl"},{"id":"2402.13785","title":"Composing Reinforcement Learning Policies, with Formal Guarantees","created":"2024-02-21","cited_by_count":2,"area":"deeprl"},{"id":"2411.07700","title":"Test Where Decisions Matter: Importance-driven Testing for Deep Reinforcement Learning","created":"2024-11-12","cited_by_count":2,"area":"deeprl"},{"id":"2506.11033","title":"Adaptive Shielding for Safe Reinforcement Learning under Hidden-Parameter Dynamics Shifts","created":"2025-05-20","cited_by_count":2,"area":"deeprl"},{"id":"2606.00270","title":"Robust Shielding for Safe Reinforcement Learning","created":"2026-05-29","cited_by_count":2,"area":"deeprl"},{"id":"2405.01198","title":"Towards Interpretable Reinforcement Learning with Constrained Normalizing Flow Policies","created":"2024-05-02","cited_by_count":1,"area":"deeprl"},{"id":"2601.21094","title":"Safety Generalization Under Distribution Shift in Safe Reinforcement Learning: A Diabetes Testbed","created":"2026-01-28","cited_by_count":1,"area":"deeprl"},{"id":"2602.10598","title":"Neuro-symbolic Action Masking for Deep Reinforcement Learning","created":"2026-02-11","cited_by_count":1,"area":"deeprl"},{"id":"2605.25267","title":"Latent Q-Barrier Shielding for Safe In-Context Reinforcement Learning","created":"2026-05-24","cited_by_count":1,"area":"deeprl"},{"id":"2506.22894","title":"Safe Reinforcement Learning with a Predictive Safety Filter for Motion Planning and Control: A Drifting Vehicle Example","created":"2025-06-28","cited_by_count":0,"area":"deeprl"},{"id":"2510.15720","title":"ProSh: Probabilistic Shielding for Model-free Reinforcement Learning","created":"2025-10-17","cited_by_count":0,"area":"deeprl"},{"id":"2510.22859","title":"Guardian: Decoupling Exploration from Safety in Reinforcement Learning","created":"2025-10-26","cited_by_count":0,"area":"deeprl"}],"next_cursor":null}