Guided by Guardrails: Control Barrier Functions as Safety Instructors for Robotic Learning

Guided by Guardrails: Control Barrier Functions as Safety Instructors for Robotic Learning

24 May 2025

Giovanni Beltrame

Papers citing "Guided by Guardrails: Control Barrier Functions as Safety Instructors for Robotic Learning"

16 / 16 papers shown

Title
Can a Bayesian Oracle Prevent Harm from an Agent? Yoshua Bengio Michael K. Cohen Nikolay Malkin Matt MacDermott Damiano Fornasiere Pietro Greiner Younesse Kaddar 70 6 0 09 Aug 2024
Gymnasium: A Standard Interface for Reinforcement Learning Environments Mark Towers Ariel Kwiatkowski Jordan Terry John U. Balis Gianluca De Cola ... Andrea Pierré Sander Schulhoff Jun Jet Tai Hannah Tan Omar G. Younis AuLLM OffRL 47 183 0 24 Jul 2024
Intentionally-underestimated Value Function at Terminal State for Temporal-difference Learning with Mis-designed Reward Taisuke Kobayashi 50 4 0 24 Aug 2023
Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees Kai Hsu Allen Z. Ren D. Nguyen Anirudha Majumdar J. F. Fisac OffRL 41 44 0 20 Jan 2022
A Simple Reward-free Approach to Constrained Reinforcement Learning Sobhan Miryoosefi Chi Jin 61 30 0 12 Jul 2021
Exploration-Exploitation in Constrained MDPs Yonathan Efroni Shie Mannor Matteo Pirotta 85 176 0 04 Mar 2020
Learning for Safety-Critical Control with Control Barrier Functions Andrew J. Taylor Andrew W. Singletary Yisong Yue Aaron D. Ames 82 241 0 20 Dec 2019
Robust Model Predictive Shielding for Safe Reinforcement Learning with Stochastic Dynamics Shuo Li Osbert Bastani 35 85 0 24 Oct 2019
Reinforcement Learning with Convex Constraints Sobhan Miryoosefi Kianté Brantley Hal Daumé Miroslav Dudík Robert Schapire 36 91 0 21 Jun 2019
End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks Richard Cheng G. Orosz R. Murray J. W. Burdick 49 613 0 21 Mar 2019
A predictive safety filter for learning-based control of constrained nonlinear dynamical systems K. P. Wabersich Melanie Zeilinger AI4CE 52 155 0 13 Dec 2018
Constrained Exploration and Recovery from Experience Shaping Tu-Hoa Pham Giovanni De Magistris Don Joven Agravante Subhajit Chaudhury Asim Munawar Ryuki Tachibana 25 3 0 21 Sep 2018
Reward Constrained Policy Optimization Chen Tessler D. Mankowitz Shie Mannor 63 540 0 28 May 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 222 8,236 0 04 Jan 2018
Safe Reinforcement Learning via Shielding Mohammed Alshiekh Roderick Bloem Rüdiger Ehlers Bettina Könighofer S. Niekum Ufuk Topcu 63 682 0 29 Aug 2017
Constrained Policy Optimization Joshua Achiam David Held Aviv Tamar Pieter Abbeel 91 1,313 0 30 May 2017