control barrier function

Sampling-based Safe Reinforcement Learning for Nonlinear Dynamical Systems AISTATS 2024 AdapSafe: Adaptive and Safe-Certified Deep Reinforcement Learning-Based Frequency Control for Carbon-Neutral Power Systems AAAI 2023 Exact Verification of ReLU Neural Control Barrier Functions NeurIPS 2023 In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States L4DC 2023 ISAACS: Iterative Soft Adversarial Actor-Critic for Safety L4DC 2023 Neural Graph Control Barrier Functions Guided Distributed Collision-avoidance Multi-agent Control CoRL 2023 On the Forward Invariance of Neural ODEs ICML 2023 Risk-Aware Decentralized Safe Control via Dynamic Responsibility Allocation (Student Abstract) AAAI 2023 Robust Safety under Stochastic Uncertainty with Discrete-Time Control Barrier Functions RSS 2023 Safe and Efficient Reinforcement Learning using Disturbance-Observer-Based Control Barrier Functions L4DC 2023 Adaptive Safe Behavior Generation for Heterogeneous Autonomous Vehicles Using Parametric-Control Barrier Functions (Student Abstract) AAAI 2022 Barrier Bayesian Linear Regression: Online Learning of Control Barrier Conditions for Safety-Critical Control of Uncertain Systems L4DC 2022 Bridging Model-based Safety and Model-free Reinforcement Learning through System Identification of Low Dimensional Linear Models RSS 2022 Decentralized Safe Multi-agent Stochastic Optimal Control using Deep FBSDEs and ADMM RSS 2022 Formal Synthesis of Safety Controllers for Unknown Stochastic Control Systems using Gaussian Process Learning L4DC 2022 Multi-Robot Adversarial Resilience using Control Barrier Functions RSS 2022 Neural Gaits: Learning Bipedal Locomotion via Control Barrier Functions and Zero Dynamics Policies L4DC 2022 Reachability Constrained Reinforcement Learning ICML 2022 Safe Control Under Input Limits with Neural Control Barrier Functions CoRL 2022 Safe Control with Minimal Regret L4DC 2022 Safety-Aware Preference-Based Learning for Safety-Critical Control L4DC 2022 Episodic Learning for Safe Bipedal Locomotion with Control Barrier Functions and Projection-to-State Safety L4DC 2021 Learning Safe Multi-agent Control with Decentralized Neural Barrier Certificates ICLR 2021 On exploration requirements for learning safety constraints L4DC 2021 Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions CoRL 2020