Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2401.14554
Cited By
GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control
25 January 2024
Songyuan Zhang
Oswin So
Kunal Garg
Chuchu Fan
AI4CE
Re-assign community
ArXiv
PDF
HTML
Papers citing
"GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control"
20 / 20 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
17
0
0
04 May 2025
Solving Multi-Agent Safe Optimal Control with Distributed Epigraph Form MARL
Songyuan Zhang
Oswin So
Mitchell Black
Zachary Serlin
Chuchu Fan
14
0
0
21 Apr 2025
Dynamic Residual Safe Reinforcement Learning for Multi-Agent Safety-Critical Scenarios Decision-Making
Kaifeng Wang
Yinsong Chen
Qi Liu
Xueyuan Li
Xin Gao
27
0
0
09 Apr 2025
Low Rank Factorizations are Indirect Encodings for Deep Neuroevolution
Jack Garbus
Jordan Pollack
24
0
0
03 Apr 2025
AttentionSwarm: Reinforcement Learning with Attention Control Barier Function for Crazyflie Drones in Dynamic Environments
Grik Tadevosyan
Valerii Serpiva
A. Fedoseev
Roohan Ahmed Khan
Demetros Aschu
Faryal Batool
Nickolay Efanov
Artem Mikhaylov
Dzmitry Tsetserukou
50
1
0
10 Mar 2025
Merry-Go-Round: Safe Control of Decentralized Multi-Robot Systems with Deadlock Prevention
Wonjong Lee
Joonyeol Sim
Joonkyung Kim
Siwon Jo
Wenhao Luo
Changjoo Nam
34
0
0
07 Mar 2025
Reliable and Efficient Multi-Agent Coordination via Graph Neural Network Variational Autoencoders
Yue Meng
Nathalie Majcherczyk
Wenliang Liu
Scott Kiesel
Chuchu Fan
Federico Pecora
GNN
61
0
0
04 Mar 2025
MA-DV2F: A Multi-Agent Navigation Framework using Dynamic Velocity Vector Field
Yining Ma
Qadeer Ahmad Khan
Daniel Cremers
20
0
0
10 Nov 2024
RPCBF: Constructing Safety Filters Robust to Model Error and Disturbances via Policy Control Barrier Functions
Luzia Knoedler
Oswin So
Ji Yin
Mitchell Black
Zachary Serlin
Panagiotis Tsiotras
Javier Alonso-Mora
Chuchu Fan
13
1
0
15 Oct 2024
Learning to Refine Input Constrained Control Barrier Functions via Uncertainty-Aware Online Parameter Adaptation
Taekyung Kim
Robin Inho Kee
Dimitra Panagou
18
6
0
22 Sep 2024
Learning Control Barrier Functions and their application in Reinforcement Learning: A Survey
Maeva Guerrier
Hassan Fouad
Giovanni Beltrame
OffRL
17
0
0
22 Apr 2024
Graph Neural Network-based Multi-agent Reinforcement Learning for Resilient Distributed Coordination of Multi-Robot Systems
Anthony Goeckner
Yueyuan Sui
Nicolas Martinet
Xinliang Li
Qi Zhu
25
0
0
19 Mar 2024
Rule-Based Lloyd Algorithm for Multi-Robot Motion Planning and Control with Safety and Convergence Guarantees
Manuel Boldrer
Álvaro Serra-Gómez
Lorenzo Lyons
Vít Krátký
Javier Alonso-Mora
Laura Ferranti
56
3
0
30 Oct 2023
How to Train Your Neural Control Barrier Function: Learning Safety Filters for Complex Input-Constrained Systems
Oswin So
Zachary Serlin
Makai Mann
Jake Gonzales
Kwesi J. Rutledge
Nicholas Roy
Chuchu Fan
17
23
0
24 Oct 2023
Double-Deck Multi-Agent Pickup and Delivery: Multi-Robot Rearrangement in Large-Scale Warehouses
Baiyu Li
Hang Ma
13
11
0
27 Apr 2023
Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions
Charles Dawson
Zengyi Qin
Sicun Gao
Chuchu Fan
102
168
0
14 Sep 2021
Reactive and Safe Road User Simulations using Neural Barrier Certificates
Yue Meng
Zengyi Qin
Chuchu Fan
21
16
0
14 Sep 2021
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning
Michael Everett
Yu Fan Chen
Jonathan P. How
128
505
0
04 May 2018
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
219
1,818
0
03 Feb 2017
Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning
Yu Fan Chen
Miao Liu
Michael Everett
Jonathan P. How
170
533
0
26 Sep 2016
1