{"total":24,"rows":[{"id":"2108.06266","title":"Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning","created":"2021-08-13","cited_by_count":371,"area":null},{"id":"2201.09562","title":"GoSafeOpt: Scalable Safe Exploration for Global Optimization of Dynamical Systems","created":"2022-01-24","cited_by_count":17,"area":null},{"id":"2302.13137","title":"A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors","created":"2023-02-25","cited_by_count":15,"area":null},{"id":"2403.12948","title":"On Safety in Safe Bayesian Optimization","created":"2024-03-19","cited_by_count":15,"area":null},{"id":"2503.10352","title":"Safe exploration in reproducing kernel Hilbert spaces","created":"2025-03-13","cited_by_count":10,"area":null},{"id":"2306.07092","title":"Tuning Legged Locomotion Controllers via Safe Bayesian Optimization","created":"2023-06-12","cited_by_count":9,"area":null},{"id":"2409.01163","title":"PACSBO: Probably approximately correct safe Bayesian optimization","created":"2024-09-02","cited_by_count":8,"area":null},{"id":"2402.07692","title":"Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints","created":"2024-02-12","cited_by_count":6,"area":null},{"id":"2502.06645","title":"Koopman-Equivariant Gaussian Processes","created":"2025-02-10","cited_by_count":6,"area":null},{"id":"2409.18000","title":"Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel","created":"2024-09-26","cited_by_count":4,"area":null},{"id":"2411.02253","title":"Towards safe Bayesian optimization with Wiener kernel regression","created":"2024-11-04","cited_by_count":4,"area":null},{"id":"2412.20350","title":"Safe Bayesian Optimization for the Control of High-Dimensional Embodied Systems","created":"2024-12-29","cited_by_count":4,"area":null},{"id":"2304.06104","title":"Primal-Dual Contextual Bayesian Optimization for Control System Online Optimization with Time-Average Constraints","created":"2023-04-12","cited_by_count":3,"area":null},{"id":"2309.03672","title":"A computationally lightweight safe learning algorithm","created":"2023-09-07","cited_by_count":3,"area":null},{"id":"2411.16267","title":"Local Bayesian Optimization for Controller Tuning with Crash Constraints","created":"2024-11-25","cited_by_count":3,"area":null},{"id":"2309.12560","title":"Machine Learning Meets Advanced Robotic Manipulation","created":"2023-09-22","cited_by_count":2,"area":null},{"id":"2402.18260","title":"Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning","created":"2024-02-28","cited_by_count":2,"area":null},{"id":"2505.08026","title":"Safety and optimality in learning-based control at low computational cost","created":"2025-05-12","cited_by_count":2,"area":null},{"id":"2211.01561","title":"Benefits of Monotonicity in Safe Exploration with Gaussian Processes","created":"2022-11-03","cited_by_count":1,"area":null},{"id":"2307.08024","title":"Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review","created":"2023-07-16","cited_by_count":1,"area":null},{"id":"2402.14402","title":"Global Safe Sequential Learning via Efficient Knowledge Transfer","created":"2024-02-22","cited_by_count":1,"area":null},{"id":"2405.10581","title":"Future Aware Safe Active Learning of Time Varying Systems using Gaussian Processes","created":"2024-05-17","cited_by_count":1,"area":null},{"id":"2406.03264","title":"No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints","created":"2024-06-05","cited_by_count":1,"area":null},{"id":"2604.01173","title":"Safe learning-based control via function-based uncertainty quantification","created":"2026-04-01","cited_by_count":1,"area":null}],"next_cursor":null}