Safe Reinforcement Learning Using Robust Control Barrier Functions

11 October 2021

Papers citing "Safe Reinforcement Learning Using Robust Control Barrier Functions"

20 / 20 papers shown

Title
Multi-Constraint Safe Reinforcement Learning via Closed-form Solution for Log-Sum-Exp Approximation of Control Barrier Functions Chenggang Wang Xinyi Wang Yutong Dong Lei Song Xinping Guan 34 0 0 01 May 2025
T-CBF: Traversability-based Control Barrier Function to Navigate Vertically Challenging Terrain Manas Gupta Xuesu Xiao 64 0 0 08 Mar 2025
Learning Vision-Based Neural Network Controllers with Semi-Probabilistic Safety Guarantees Xinhang Ma Junlin Wu Hussein Sibai Y. Kantaros Yevgeniy Vorobeychik 33 0 0 28 Feb 2025
A Survey of Reinforcement Learning for Optimization in Automation Ahmad Farooq Kamran Iqbal OffRL 89 1 0 13 Feb 2025
Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning Piotr Kicki Davide Tateo Puze Liu Jonas Guenster Jan Peters Krzysztof Walas 34 2 0 26 Aug 2024
SOMTP: Self-Supervised Learning-Based Optimizer for MPC-Based Safe Trajectory Planning Problems in Robotics Yifan Liu You Wang Guang Li 31 0 0 15 May 2024
Diagnosing and Predicting Autonomous Vehicle Operational Safety Using Multiple Simulation Modalities and a Virtual Environment Joe Beck Shean Huff Subhadeep Chakraborty 39 1 0 13 May 2024
Safe Reinforcement Learning on the Constraint Manifold: Theory and Applications Puze Liu Haitham Bou-Ammar Jan Peters Davide Tateo 49 7 0 13 Apr 2024
WROOM: An Autonomous Driving Approach for Off-Road Navigation Dvij Kalaria Shreya Sharma Sarthak Bhagat Haoru Xue John M. Dolan 43 1 0 12 Apr 2024
Safety Filters for Black-Box Dynamical Systems by Learning Discriminating Hyperplanes Will Lavanakul Jason J. Choi K. Sreenath Claire J. Tomlin 49 12 0 07 Feb 2024
Learning Predictive Safety Filter via Decomposition of Robust Invariant Set Zeyang Li Chuxiong Hu Weiye Zhao Changliu Liu 34 7 0 12 Nov 2023
Machine Learning Meets Advanced Robotic Manipulation Saeid Nahavandi R. Alizadehsani D. Nahavandi Chee Peng Lim Kevin Kelly Fernando Bello 24 17 0 22 Sep 2023
Learning Adaptive Safety for Multi-Agent Systems Luigi Berducci Shuo Yang Rahul Mangharam Radu Grosu 43 4 0 19 Sep 2023
A Survey on Physics Informed Reinforcement Learning: Review and Open Problems C. Banerjee Kien Nguyen Clinton Fookes M. Raissi PINN AI4CE 21 9 0 05 Sep 2023
Towards Optimal Head-to-head Autonomous Racing with Curriculum Reinforcement Learning Dvij Kalaria Qin Lin John M. Dolan 29 2 0 25 Aug 2023
Safety Filter Design for Neural Network Systems via Convex Optimization Shaoru Chen K. Y. Chee Nikolai Matni M. A. Hsieh George J. Pappas 33 3 0 16 Aug 2023
Multi-Agent Reinforcement Learning Guided by Signal Temporal Logic Specifications Jiangwei Wang Shuo Yang Ziyan An Songyang Han Zhili Zhang Rahul Mangharam Meiyi Ma Fei Miao 29 8 0 11 Jun 2023
On the Optimality, Stability, and Feasibility of Control Barrier Functions: An Adaptive Learning-Based Approach A. Chriat Chuangchuang Sun 26 4 0 05 May 2023
Safe Navigation and Obstacle Avoidance Using Differentiable Optimization Based Control Barrier Functions Bolun Dai Rooholla Khorrambakht Prashanth Krishnamurthy V. Gonccalves Anthony Tzes Farshad Khorrami 24 30 0 17 Apr 2023
Stable and Safe Reinforcement Learning via a Barrier-Lyapunov Actor-Critic Approach Liqun Zhao Konstantinos Gatsis A. Papachristodoulou 20 13 0 08 Apr 2023