Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates

14 January 2021

Chuchu Fan

Papers citing "Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates"

21 / 21 papers shown

Title
Resolving Conflicting Constraints in Multi-Agent Reinforcement Learning with Layered Safety Jason J. Choi Jasmine Jerry Aloor Jingqi Li Maria G. Mendoza H. Balakrishnan Claire J. Tomlin 28 0 0 04 May 2025
Robots that Suggest Safe Alternatives Hyun Joe Jeong Andrea V. Bajcsy Andrea Bajcsy OffRL 41 1 0 15 Sep 2024
Efficient Motion Planning for Manipulators with Control Barrier Function-Induced Neural Controller Mingxin Yu Chenning Yu M.-Mahdi Naddaf-Sh Devesh Upadhyay Sicun Gao Chuchu Fan 43 4 0 01 Apr 2024
Safe Distributed Control of Multi-Robot Systems with Communication Delays Luca Ballotta Rajat Talak AI4CE 21 1 0 14 Feb 2024
GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control Songyuan Zhang Oswin So Kunal Garg Chuchu Fan AI4CE 41 22 0 25 Jan 2024
Learning Performance-Oriented Control Barrier Functions Under Complex Safety Constraints and Limited Actuation Shaoru Chen Mahyar Fazlyab 30 6 0 11 Jan 2024
State-Wise Safe Reinforcement Learning With Pixel Observations S. Zhan Yixuan Wang Qingyuan Wu Ruochen Jiao Chao Huang Qi Zhu 38 10 0 03 Nov 2023
Online Control Barrier Functions for Decentralized Multi-Agent Navigation Zhan Gao Guangtao Yang Amanda Prorok 39 15 0 08 Mar 2023
Learning Responsibility Allocations for Safe Human-Robot Interaction with Applications to Autonomous Driving Ryan K. Cosner Yuxiao Chen Karen Leung Marco Pavone 22 9 0 06 Mar 2023
Safe Control Under Input Limits with Neural Control Barrier Functions Simin Liu Changliu Liu John M. Dolan AAML 11 38 0 20 Nov 2022
Learning Control Admissibility Models with Graph Neural Networks for Multi-Agent Navigation Chenning Yu Hong-Den Yu Sicun Gao 26 17 0 17 Oct 2022
Learning Control Policies for Stochastic Systems with Reach-avoid Guarantees Dorde Zikelic Mathias Lechner T. Henzinger K. Chatterjee 19 21 0 11 Oct 2022
Backward Reachability Analysis of Neural Feedback Loops: Techniques for Linear and Nonlinear Systems Nicholas Rober Sydney M. Katz Chelsea Sidrane Esen Yel Michael Everett Mykel J. Kochenderfer Jonathan P. How 32 26 0 28 Sep 2022
Safe Control with Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction methods Charles Dawson Sicun Gao Chuchu Fan 31 229 0 23 Feb 2022
Detecting danger in gridworlds using Gromov's Link Condition Thomas F Burns R. Tang AI4CE 15 2 0 17 Jan 2022
SABLAS: Learning Safe Control for Black-box Dynamical Systems Zengyi Qin Dawei Sun Chuchu Fan 19 43 0 06 Jan 2022
Learning Robust Output Control Barrier Functions from Safe Expert Demonstrations Lars Lindemann Alexander Robey Lejun Jiang Satyajeet Das Stephen Tu Nikolai Matni 43 42 0 18 Nov 2021
Multi-Agent Constrained Policy Optimisation Shangding Gu J. Kuba Munning Wen Ruiqing Chen Ziyan Wang Zheng Tian Jun Wang Alois Knoll Yaodong Yang 93 49 0 06 Oct 2021
Reactive and Safe Road User Simulations using Neural Barrier Certificates Yue Meng Zengyi Qin Chuchu Fan 29 20 0 14 Sep 2021
Model Free Barrier Functions via Implicit Evading Maneuvers Eric Squires Rohit Konda Samuel Coogan M. Egerstedt 14 6 0 27 Jul 2021
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning Michael Everett Yu Fan Chen Jonathan P. How 137 509 0 04 May 2018