{"total":92,"rows":[{"id":"2309.05837","title":"The Safety Filter: A Unified View of Safety-Critical Control in Autonomous Systems","created":"2023-09-11","cited_by_count":88,"area":null},{"id":"2306.00148","title":"SafeDiffuser: Safe Planning with Diffusion Probabilistic Models","created":"2023-05-31","cited_by_count":75,"area":"diffusion"},{"id":"2101.05436","title":"Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates","created":"2021-01-14","cited_by_count":74,"area":null},{"id":"2401.10700","title":"Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model","created":"2024-01-19","cited_by_count":64,"area":"offlinerl"},{"id":"2502.00935","title":"Generalizing Safety Beyond Collision-Avoidance via Latent-Space Reachability Analysis","created":"2025-02-02","cited_by_count":45,"area":"wm"},{"id":"2503.07885","title":"Safety Guardrails for LLM-Enabled Robots","created":"2025-03-10","cited_by_count":35,"area":"safety"},{"id":"2505.00779","title":"Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures","created":"2025-05-01","cited_by_count":33,"area":"wm"},{"id":"2211.11056","title":"Safe Control Under Input Limits with Neural Control Barrier Functions","created":"2022-11-20","cited_by_count":29,"area":null},{"id":"2206.10524","title":"Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control","created":"2022-06-21","cited_by_count":28,"area":null},{"id":"2306.13867","title":"Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems","created":"2023-06-24","cited_by_count":28,"area":null},{"id":"2105.14937","title":"Safe Pontryagin Differentiable Programming","created":"2021-05-31","cited_by_count":26,"area":null},{"id":"2105.08169","title":"Safe Occlusion-aware Autonomous Driving via Game-Theoretic Active Perception","created":"2021-05-17","cited_by_count":23,"area":"driving"},{"id":"2206.01463","title":"Safety Certification for Stochastic Systems via Neural Barrier Functions","created":"2022-06-03","cited_by_count":22,"area":null},{"id":"2111.09971","title":"Learning Robust Output Control Barrier Functions from Safe Expert Demonstrations","created":"2021-11-18","cited_by_count":20,"area":null},{"id":"2503.00187","title":"Steering Dialogue Dynamics for Robustness against Multi-turn Jailbreaking Attacks","created":"2025-02-28","cited_by_count":20,"area":"safety"},{"id":"2109.13359","title":"Lyapunov-Net: A Deep Neural Network Architecture for Lyapunov Function Approximation","created":"2021-09-27","cited_by_count":16,"area":null},{"id":"2301.12012","title":"In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States","created":"2023-01-27","cited_by_count":16,"area":null},{"id":"2405.00846","title":"Gameplay Filters: Robust Zero-Shot Safety through Adversarial Imagination","created":"2024-05-01","cited_by_count":16,"area":null},{"id":"2302.00171","title":"Active Uncertainty Reduction for Safe and Efficient Interaction Planning: A Shielding-Aware Dual Control Approach","created":"2023-02-01","cited_by_count":15,"area":null},{"id":"2404.09080","title":"Safe Reinforcement Learning on the Constraint Manifold: Theory and Applications","created":"2024-04-13","cited_by_count":15,"area":"deeprl"},{"id":"2101.06492","title":"Learning Robust Hybrid Control Barrier Functions for Uncertain Systems","created":"2021-01-16","cited_by_count":14,"area":null},{"id":"2110.00843","title":"SHARP: Shielding-Aware Robust Planning for Safe and Efficient Human-Robot Interaction","created":"2021-10-02","cited_by_count":12,"area":null},{"id":"2111.11277","title":"BarrierNet: A Safety-Guaranteed Layer for Neural Networks","created":"2021-11-22","cited_by_count":12,"area":null},{"id":"2509.24243","title":"SafeFlowMatcher: Safe and Fast Planning using Flow Matching with Control Barrier Functions","created":"2025-09-29","cited_by_count":12,"area":"diffusion"},{"id":"2201.12243","title":"Joint Differentiable Optimization and Verification for Certified Reinforcement Learning","created":"2022-01-28","cited_by_count":11,"area":null},{"id":"2303.04313","title":"Online Control Barrier Functions for Decentralized Multi-Agent Navigation","created":"2023-03-08","cited_by_count":11,"area":null},{"id":"2203.02401","title":"Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving","created":"2022-03-04","cited_by_count":10,"area":"driving"},{"id":"2206.04632","title":"Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations","created":"2022-06-09","cited_by_count":10,"area":"offlinerl"},{"id":"2201.01347","title":"Learning Differentiable Safety-Critical Control using Control Barrier Functions for Generalization to Novel Environments","created":"2022-01-04","cited_by_count":9,"area":null},{"id":"2307.03015","title":"Sequential Neural Barriers for Scalable Dynamic Obstacle Avoidance","created":"2023-07-06","cited_by_count":9,"area":null},{"id":"2404.16879","title":"Learning Control Barrier Functions and their application in Reinforcement Learning: A Survey","created":"2024-04-22","cited_by_count":8,"area":"deeprl"},{"id":"2105.12204","title":"Safe Value Functions","created":"2021-05-25","cited_by_count":7,"area":null},{"id":"2403.07308","title":"Verification-Aided Learning of Neural Network Barrier Functions with Termination Guarantees","created":"2024-03-12","cited_by_count":7,"area":null},{"id":"2409.13867","title":"MAGICS: Adversarial RL with Minimax Actors Guided by Implicit Critic Stackelberg for Convergent Neural Synthesis of Robot Safety","created":"2024-09-20","cited_by_count":7,"area":"deeprl"},{"id":"2604.07644","title":"Safe Large-Scale Robust Nonlinear MPC in Milliseconds via Reachability-Constrained System Level Synthesis on the GPU","created":"2026-04-08","cited_by_count":7,"area":null},{"id":"2506.01356","title":"Two-Stage Learning of Stabilizing Neural Controllers via Zubov Sampling and Iterative Domain Expansion","created":"2025-06-02","cited_by_count":6,"area":null},{"id":"2102.10806","title":"Provably Correct Training of Neural Network Controllers Using Reachability Analysis","created":"2021-02-22","cited_by_count":5,"area":null},{"id":"2205.05787","title":"Bridging Model-based Safety and Model-free Reinforcement Learning through System Identification of Low Dimensional Linear Models","created":"2022-05-11","cited_by_count":5,"area":null},{"id":"2309.11453","title":"Multi-Step Model Predictive Safety Filters: Reducing Chattering by Increasing the Prediction Horizon","created":"2023-09-20","cited_by_count":5,"area":null},{"id":"2505.00908","title":"Learning Conservative Neural Control Barrier Functions from Offline Data","created":"2025-05-01","cited_by_count":5,"area":"offlinerl"},{"id":"2512.10822","title":"V-OCBF: Learning Safety Filters from Offline Data via Value-Guided Offline Control Barrier Functions","created":"2025-12-11","cited_by_count":5,"area":"offlinerl"},{"id":"2401.05629","title":"Learning Performance-Oriented Control Barrier Functions Under Complex Safety Constraints and Limited Actuation","created":"2024-01-11","cited_by_count":4,"area":null},{"id":"2402.04182","title":"Reinforcement Learning with Ensemble Model Predictive Safety Certification","created":"2024-02-06","cited_by_count":4,"area":"deeprl"},{"id":"2406.05119","title":"Compositional Curvature Bounds for Deep Neural Networks","created":"2024-06-07","cited_by_count":4,"area":null},{"id":"2503.17395","title":"CP-NCBF: A Conformal Prediction-based Approach to Synthesize Verified Neural Control Barrier Functions","created":"2025-03-18","cited_by_count":4,"area":null},{"id":"2606.15594","title":"Pixels to Proofs: Probabilistically-Safe Latent World Model Control via Parallel Conformal Robust MPC","created":"2026-06-14","cited_by_count":4,"area":"wm"},{"id":"2107.12871","title":"Model Free Barrier Functions via Implicit Evading Maneuvers","created":"2021-07-27","cited_by_count":3,"area":null},{"id":"2112.05911","title":"Learning Contraction Policies from Offline Data","created":"2021-12-11","cited_by_count":3,"area":null},{"id":"2212.02753","title":"Safe Inverse Reinforcement Learning via Control Barrier Function","created":"2022-12-06","cited_by_count":3,"area":"offlinerl"},{"id":"2401.12849","title":"Learning safety critics via a non-contractive binary bellman operator","created":"2024-01-23","cited_by_count":3,"area":"deeprl"},{"id":"2503.10641","title":"Estimating Control Barriers from Offline Data","created":"2025-02-21","cited_by_count":3,"area":null},{"id":"2505.11755","title":"Reachability Barrier Networks: Learning Hamilton-Jacobi Solutions for Smooth and Flexible Control Barrier Functions","created":"2025-05-16","cited_by_count":3,"area":null},{"id":"2510.18082","title":"Provably Optimal Reinforcement Learning under Safety Filtering","created":"2025-10-20","cited_by_count":3,"area":"deeprl"},{"id":"2112.10690","title":"Adversarially Robust Stability Certificates can be Sample-Efficient","created":"2021-12-20","cited_by_count":2,"area":null},{"id":"2203.05403","title":"Robustness Analysis of Classification Using Recurrent Neural Networks with Perturbed Sequential Input","created":"2022-03-10","cited_by_count":2,"area":null},{"id":"2203.15474","title":"Gaussian Control Barrier Functions : A Non-Parametric Paradigm to Safety","created":"2022-03-29","cited_by_count":2,"area":null},{"id":"2303.09403","title":"Learning Feasibility Constraints for Control Barrier Functions","created":"2023-03-10","cited_by_count":2,"area":null},{"id":"2503.06083","title":"T-CBF: Traversability-based Control Barrier Function to Navigate Vertically Challenging Terrain","created":"2025-03-08","cited_by_count":2,"area":null},{"id":"2509.16614","title":"ORN-CBF: Learning Observation-conditioned Residual Neural Control Barrier Functions via Hypernetworks","created":"2025-09-20","cited_by_count":2,"area":null},{"id":"2109.02791","title":"Safety-Critical Learning of Robot Control with Temporal Logic Specifications","created":"2021-09-07","cited_by_count":1,"area":null},{"id":"2204.10372","title":"Model-free Learning of Regions of Attraction via Recurrent Sets","created":"2022-04-21","cited_by_count":1,"area":null},{"id":"2302.06572","title":"EnergyShield: Provably-Safe Offloading of Neural Network Controllers for Energy Efficiency","created":"2023-02-13","cited_by_count":1,"area":null},{"id":"2404.10064","title":"The Feasibility Theory of Constrained Reinforcement Learning: A Tutorial Study","created":"2024-04-15","cited_by_count":1,"area":"deeprl"},{"id":"2406.13025","title":"ABNet: Attention BarrierNet for Safe and Scalable Robot Learning","created":"2024-06-18","cited_by_count":1,"area":null},{"id":"2410.14528","title":"Domain Adaptive Safety Filters via Deep Operator Learning","created":"2024-10-18","cited_by_count":1,"area":null},{"id":"2504.11045","title":"Neural Control Barrier Functions from Physics Informed Neural Networks","created":"2025-04-15","cited_by_count":1,"area":null},{"id":"2510.21560","title":"Learning Neural Control Barrier Functions from Expert Demonstrations using Inverse Constraint Learning","created":"2025-10-24","cited_by_count":1,"area":null},{"id":"2603.06921","title":"CN-CBF: Composite Neural Control Barrier Function for Robot Navigation in Dynamic Environments","created":"2026-03-06","cited_by_count":1,"area":null},{"id":"2605.26577","title":"Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial","created":"2026-05-26","cited_by_count":1,"area":null},{"id":"2606.02562","title":"Permissive Safety Through Trusted Inference: Verifiable Belief-Space Neural Safety Filters for Assured Interactive Robotics","created":"2026-06-01","cited_by_count":1,"area":null},{"id":"2106.11881","title":"Failing with Grace: Learning Neural Network Controllers that are Boundedly Unsafe","created":"2021-06-22","cited_by_count":0,"area":null},{"id":"2110.04633","title":"Credit Assignment Safety Learning from Human Demonstrations","created":"2021-10-09","cited_by_count":0,"area":"offlinerl"},{"id":"2210.05596","title":"Geometry of Radial Basis Neural Networks for Safety Biased Approximation of Unsafe Regions","created":"2022-10-11","cited_by_count":0,"area":null},{"id":"2402.18677","title":"Fault Tolerant Neural Control Barrier Functions for Robotic Systems under Sensor Faults and Attacks","created":"2024-02-28","cited_by_count":0,"area":null},{"id":"2411.15972","title":"Stability properties of gradient flow dynamics for the symmetric low-rank matrix factorization problem","created":"2024-11-24","cited_by_count":0,"area":null},{"id":"2503.12243","title":"RISE: Robust Imitation through Stochastic Encoding","created":"2025-03-15","cited_by_count":0,"area":"offlinerl"},{"id":"2503.21141","title":"Safe Human Robot Navigation in Warehouse Scenario","created":"2025-03-27","cited_by_count":0,"area":null},{"id":"2508.19186","title":"Real-Time Model Checking for Closed-Loop Robot Reactive Planning","created":"2025-08-26","cited_by_count":0,"area":null},{"id":"2602.20102","title":"BarrierSteer: LLM Safety via Learning Barrier Steering","created":"2026-02-23","cited_by_count":0,"area":"safety"},{"id":"2602.23524","title":"V-MORALS: Visual Morse Graph-Aided Estimation of Regions of Attraction in a Learned Latent Space","created":"2026-02-26","cited_by_count":0,"area":null},{"id":"2603.10392","title":"Safe Probabilistic Planning for Human-Robot Interaction using Conformal Risk Control","created":"2026-03-11","cited_by_count":0,"area":null},{"id":"2603.23565","title":"Safe Reinforcement Learning with Preference-based Constraint Inference","created":"2026-03-24","cited_by_count":0,"area":"deeprl"},{"id":"2604.06463","title":"A Control Barrier Function-Constrained Model Predictive Control Framework for Safe Reinforcement Learning","created":"2026-04-07","cited_by_count":0,"area":"deeprl"},{"id":"2605.01195","title":"TAIL-Safe: Task-Agnostic Safety Monitoring for Imitation Learning Policies","created":"2026-05-02","cited_by_count":0,"area":"diffusion"},{"id":"2605.05989","title":"Verifiable Model-Free Safety Filters via Reinforcement Learning","created":"2026-05-07","cited_by_count":0,"area":"deeprl"},{"id":"2607.00534","title":"Learning from Demonstration via Spatiotemporal Tubes for Unknown Euler-Lagrange Systems","created":"2026-07-01","cited_by_count":0,"area":"offlinerl"},{"id":"2607.13938","title":"Discriminative Barrier Functions for Safe Adversarial Imitation Learning from Observation","created":"2026-07-15","cited_by_count":0,"area":"offlinerl"},{"id":"2607.20674","title":"End-to-End Learning of Safe Optimal Feedback Control in High Dimensions with Control Barrier Function Layers","created":"2026-07-22","cited_by_count":0,"area":null},{"id":"2608.10332","title":"Topological Feasibility Guarantees for Differentiable Predictive Control","created":"2026-08-11","cited_by_count":0,"area":null},{"id":"2608.19366","title":"Data-Driven Time-Varying Control Barrier Functions for Adaptive Safe-Set Learning with Online Decremental Support Vector Machines","created":"2026-08-19","cited_by_count":0,"area":null},{"id":"2609.27312","title":"Turning Safety into Competence: Minimally Exploitable Robot Policies via Safety-Filtered Reinforcement Learning","created":"2026-09-23","cited_by_count":0,"area":"deeprl"},{"id":"2610.20255","title":"Safe Reinforcement Learning with Receding-Horizon Safety Critic and Differentiable Action Shields","created":"2026-10-14","cited_by_count":0,"area":"deeprl"}],"next_cursor":null}