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2101.05436
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Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates
14 January 2021
Zengyi Qin
Kai Zhang
Yuxiao Chen
Jingkai Chen
Chuchu Fan
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Papers citing
"Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates"
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Title
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Alexander Estornell
Michael Everett
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Solving Multi-Agent Safe Optimal Control with Distributed Epigraph Form MARL
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Oswin So
Mitchell Black
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Safe Human Robot Navigation in Warehouse Scenario
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Chenghao Li
Hongzhan Yu
Ryo Yoshimitsu
Sicun Gao
Henrik I. Christensen
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Safe Distributed Learning-Enhanced Predictive Control for Multiple Quadrupedal Robots
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Wei Pan
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0
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Estimating Control Barriers from Offline Data
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Seth Farrell
Ryo Yoshimitsu
Zhizhen Qin
Henrik I. Christensen
Sicun Gao
OffRL
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3
0
21 Feb 2025
Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics
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Soumyajit Dey
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0
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Neural Control and Certificate Repair via Runtime Monitoring
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Đorđe Žikelić
T. Henzinger
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112
0
0
17 Dec 2024
Neural Model Checking
Mirco Giacobbe
Daniel Kroening
Abhinandan Pal
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71
2
0
31 Oct 2024
SEEV: Synthesis with Efficient Exact Verification for ReLU Neural Barrier Functions
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Zhizhen Qin
Sicun Gao
Andrew Clark
68
1
0
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Domain Adaptive Safety Filters via Deep Operator Learning
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Shaoru Chen
Mahyar Fazlyab
48
2
0
18 Oct 2024
RPCBF: Constructing Safety Filters Robust to Model Error and Disturbances via Policy Control Barrier Functions
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Oswin So
Ji Yin
Mitchell Black
Zachary Serlin
Panagiotis Tsiotras
Javier Alonso-Mora
Chuchu Fan
76
1
0
15 Oct 2024
Decentralized Safe and Scalable Multi-Agent Control under Limited Actuation
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Abhishek Jha
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15 Sep 2024
Robots that Suggest Safe Alternatives
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Andrea V. Bajcsy
Andrea Bajcsy
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101
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0
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Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey
Ruiqi Zhang
Jing Hou
Florian Walter
Shangding Gu
Jiayi Guan
Florian Röhrbein
Yali Du
Panpan Cai
G. Chen
Alois Knoll
131
15
0
19 Aug 2024
Safe and Reliable Training of Learning-Based Aerospace Controllers
Udayan Mandal
Guy Amir
Haoze Wu
Ieva Daukantas
Fletcher Lee Newell
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Kerianne Hobbs
Milan Ganai
Tobey Shim
Guy Katz
Clark Barrett
81
3
0
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Ensuring Both Positivity and Stability Using Sector-Bounded Nonlinearity for Systems with Neural Network Controllers
Hamidreza Montazeri Hedesh
Milad Siami
55
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18 Jun 2024
CoBL-Diffusion: Diffusion-Based Conditional Robot Planning in Dynamic Environments Using Control Barrier and Lyapunov Functions
Kazuki Mizuta
Karen Leung
113
9
0
08 Jun 2024
Formally Verifying Deep Reinforcement Learning Controllers with Lyapunov Barrier Certificates
Udayan Mandal
Guy Amir
Haoze Wu
Ieva Daukantas
Fletcher Lee Newell
...
Michael Durling
Milan Ganai
Tobey Shim
Guy Katz
Clark W. Barrett
64
8
0
22 May 2024
Dynamic Model Predictive Shielding for Provably Safe Reinforcement Learning
Arko Banerjee
Kia Rahmani
Joydeep Biswas
Işıl Dillig
82
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0
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Human-AI Safety: A Descendant of Generative AI and Control Systems Safety
Andrea V. Bajcsy
J. F. Fisac
56
7
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Learning Control Barrier Functions and their application in Reinforcement Learning: A Survey
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Hassan Fouad
Giovanni Beltrame
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88
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0
22 Apr 2024
Learning a Stable, Safe, Distributed Feedback Controller for a Heterogeneous Platoon of Vehicles
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T. Padır
60
0
0
18 Apr 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
79
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0
01 Apr 2024
Verification-Aided Learning of Neural Network Barrier Functions with Termination Guarantees
Shaoru Chen
Lekan Molu
Mahyar Fazlyab
70
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0
12 Mar 2024
Learning Input Constrained Control Barrier Functions for Guaranteed Safety of Car-Like Robots
Sven Brüggemann
Dominic Nightingale
Jack Silberman
Maurício de Oliveira
86
0
0
19 Feb 2024
Provably Safe Neural Network Controllers via Differential Dynamic Logic
Samuel Teuber
Stefan Mitsch
André Platzer
AAML
54
9
0
16 Feb 2024
Safe Distributed Control of Multi-Robot Systems with Communication Delays
Luca Ballotta
Rajat Talak
AI4CE
102
1
0
14 Feb 2024
Learning Local Control Barrier Functions for Safety Control of Hybrid Systems
Shuo Yang
Yu Chen
Xiang Yin
Rahul Mangharam
62
4
0
26 Jan 2024
GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control
Songyuan Zhang
Oswin So
Kunal Garg
Chuchu Fan
AI4CE
169
24
0
25 Jan 2024
Learning Performance-Oriented Control Barrier Functions Under Complex Safety Constraints and Limited Actuation
Shaoru Chen
Mahyar Fazlyab
89
7
0
11 Jan 2024
Gradient Shaping for Multi-Constraint Safe Reinforcement Learning
Yi-Fan Yao
Zuxin Liu
Zhepeng Cen
Peide Huang
Tingnan Zhang
Wenhao Yu
Ding Zhao
OffRL
164
6
0
23 Dec 2023
Feasible Space Monitoring for Multiple Control Barrier Functions with application to Large Scale Indoor Navigation
Hardik Parwana
Mitchell Black
Bardh Hoxha
Hideki Okamoto
Georgios Fainekos
Danil Prokhorov
Dimitra Panagou
61
7
0
12 Dec 2023
Learning Predictive Safety Filter via Decomposition of Robust Invariant Set
Zeyang Li
Chuxiong Hu
Weiye Zhao
Changliu Liu
65
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0
12 Nov 2023
Stable Modular Control via Contraction Theory for Reinforcement Learning
Bing Song
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100
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State-Wise Safe Reinforcement Learning With Pixel Observations
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Yixuan Wang
Qingyuan Wu
Ruochen Jiao
Chao Huang
Qi Zhu
120
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03 Nov 2023
How to Train Your Neural Control Barrier Function: Learning Safety Filters for Complex Input-Constrained Systems
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Zachary Serlin
Makai Mann
Jake Gonzales
Kwesi J. Rutledge
Nicholas Roy
Chuchu Fan
111
33
0
24 Oct 2023
Exact Verification of ReLU Neural Control Barrier Functions
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Junlin Wu
Yevgeniy Vorobeychik
Andrew Clark
AAML
87
12
0
13 Oct 2023
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning
Yi-Fan Yao
Zuxin Liu
Zhepeng Cen
Jiacheng Zhu
Wenhao Yu
Tingnan Zhang
Ding Zhao
OffRL
82
13
0
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Learning Adaptive Safety for Multi-Agent Systems
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Shuo Yang
Rahul Mangharam
Radu Grosu
94
4
0
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Deadlock-free, Safe, and Decentralized Multi-Robot Navigation in Social Mini-Games via Discrete-Time Control Barrier Functions
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Vrushabh Zinage
E. Bakolas
Peter Stone
Joydeep Biswas
126
5
0
21 Aug 2023
Sequential Neural Barriers for Scalable Dynamic Obstacle Avoidance
Hong-Den Yu
Chiaki Hirayama
Chenning Yu
Sylvia Herbert
Sicun Gao
74
16
0
06 Jul 2023
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems
Truong X. Nghiem
Ján Drgoňa
Colin N. Jones
Zoltán Nagy
Roland Schwan
...
J. Paulson
Andrea Carron
Melanie Zeilinger
Wenceslao Shaw-Cortez
D. Vrabie
PINN
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110
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0
24 Jun 2023
Solving Stabilize-Avoid Optimal Control via Epigraph Form and Deep Reinforcement Learning
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Chuchu Fan
46
24
0
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Robust Multi-agent Communication via Multi-view Message Certification
Lei Yuan
T. Jiang
Lihe Li
F. Chen
Zongzhang Zhang
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83
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0
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Model-based Dynamic Shielding for Safe and Efficient Multi-Agent Reinforcement Learning
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Yiwei Lyu
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43
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Rate-Tunable Control Barrier Functions: Methods and Algorithms for Online Adaptation
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Dimitra Panagou
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Hybrid Systems Neural Control with Region-of-Attraction Planner
Yue Meng
Chuchu Fan
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2
0
18 Mar 2023
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