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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"

34 / 84 papers shown

Title
Online Control Barrier Functions for Decentralized Multi-Agent Navigation Zhan Gao Guangtao Yang Amanda Prorok 102 16 0 08 Mar 2023
ConBaT: Control Barrier Transformer for Safe Policy Learning Yue Meng Sai H. Vemprala Rogerio Bonatti Chuchu Fan Ashish Kapoor OffRL 78 3 0 07 Mar 2023
Learning Responsibility Allocations for Safe Human-Robot Interaction with Applications to Autonomous Driving Ryan K. Cosner Yuxiao Chen Karen Leung Marco Pavone 50 10 0 06 Mar 2023
Shield Model Predictive Path Integral: A Computationally Efficient Robust MPC Approach Using Control Barrier Functions Ji Yin Charles Dawson Chuchu Fan Panagiotis Tsiotras 134 17 0 23 Feb 2023
Shared Information-Based Safe And Efficient Behavior Planning For Connected Autonomous Vehicles Songyang Han Shangli Zhou Lynn Pepin Jiangwei Wang Caiwen Ding Fei Miao 36 1 0 08 Feb 2023
AutoCost: Evolving Intrinsic Cost for Zero-violation Reinforcement Learning Tairan He Weiye Zhao Changliu Liu OffRL 80 18 0 24 Jan 2023
Decentralized Multi-agent Filtering Dom Huh P. Mohapatra 44 0 0 21 Jan 2023
Safe Inverse Reinforcement Learning via Control Barrier Function Yue Yang Letian Chen Matthew C. Gombolay OffRL 107 3 0 06 Dec 2022
Safe Control Under Input Limits with Neural Control Barrier Functions Simin Liu Changliu Liu John M. Dolan AAML 87 41 0 20 Nov 2022
Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation Siddharth Nayak Kenneth M. F. Choi Wenqi Ding Sydney I. Dolan Karthik Gopalakrishnan H. Balakrishnan 67 32 0 03 Nov 2022
Learning Control Admissibility Models with Graph Neural Networks for Multi-Agent Navigation Chenning Yu Hong-Den Yu Sicun Gao 79 17 0 17 Oct 2022
Learning Control Policies for Stochastic Systems with Reach-avoid Guarantees Dorde Zikelic Mathias Lechner T. Henzinger K. Chatterjee 100 27 0 11 Oct 2022
Learning Autonomous Vehicle Safety Concepts from Demonstrations Karen Leung Sushant Veer Edward Schmerling Marco Pavone 47 8 0 06 Oct 2022
Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments Yixuan Wang S. Zhan Ruochen Jiao Zhilu Wang Wanxin Jin Zhuoran Yang Zhaoran Wang Chao Huang Qi Zhu 91 52 0 29 Sep 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 92 28 0 28 Sep 2022
Synthesize Efficient Safety Certificates for Learning-Based Safe Control using Magnitude Regularization Haotian Zheng Haitong Ma Sifa Zheng Shengbo Eben Li Jianqiang Wang 40 2 0 23 Sep 2022
Learning Certifiably Robust Controllers Using Fragile Perception Dawei Sun N. Musavi Geir Dullerud Sanjay Shakkottai Sayan Mitra 62 1 0 22 Sep 2022
QuaDUE-CCM: Interpretable Distributional Reinforcement Learning using Uncertain Contraction Metrics for Precise Quadrotor Trajectory Tracking Yanran Wang James O’Keeffe Qiuchen Qian David E. Boyle 83 9 0 15 Jul 2022
Safe Control with Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction methods Charles Dawson Sicun Gao Chuchu Fan 78 243 0 23 Feb 2022
Joint Differentiable Optimization and Verification for Certified Reinforcement Learning Yixuan Wang S. Zhan Zhilu Wang Chao Huang Zhaoran Wang Zhuoran Yang Qi Zhu 56 23 0 28 Jan 2022
Detecting danger in gridworlds using Gromov's Link Condition Thomas F Burns R. Tang AI4CE 74 2 0 17 Jan 2022
SABLAS: Learning Safe Control for Black-box Dynamical Systems Zengyi Qin Dawei Sun Chuchu Fan 89 43 0 06 Jan 2022
Learning Safe, Generalizable Perception-based Hybrid Control with Certificates Charles Dawson Bethany Lowenkamp D. Goff Chuchu Fan 99 54 0 04 Jan 2022
Learn Zero-Constraint-Violation Policy in Model-Free Constrained Reinforcement Learning Haitong Ma Changliu Liu Shengbo Eben Li Sifa Zheng Wen Sun Jianyu Chen 81 11 0 25 Nov 2021
Learning Robust Output Control Barrier Functions from Safe Expert Demonstrations Lars Lindemann Alexander Robey Lejun Jiang Satyajeet Das Stephen Tu Nikolai Matni 129 43 0 18 Nov 2021
Joint Synthesis of Safety Certificate and Safe Control Policy using Constrained Reinforcement Learning Haitong Ma Changliu Liu Shengbo Eben Li Sifa Zheng Jianyu Chen 82 43 0 15 Nov 2021
DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning Zhaoxing Yang Rong Ding Haiming Jin Yifei Wei Haoyi You Guiyun Fan Xiaoying Gan Xinbing Wang 76 4 0 10 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 161 49 0 06 Oct 2021
Learning Observation-Based Certifiable Safe Policy for Decentralized Multi-Robot Navigation Yuxiang Cui Longzhong Lin Xiaolong Huang Dongkun Zhang Yue Wang R. Xiong 71 11 0 16 Sep 2021
Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions Charles Dawson Zengyi Qin Sicun Gao Chuchu Fan 159 176 0 14 Sep 2021
Reactive and Safe Road User Simulations using Neural Barrier Certificates Yue Meng Zengyi Qin Chuchu Fan 103 20 0 14 Sep 2021
Model Free Barrier Functions via Implicit Evading Maneuvers Eric Squires Rohit Konda Samuel Coogan M. Egerstedt 67 7 0 27 Jul 2021
Neural Termination Analysis Mirco Giacobbe Daniel Kroening Julian Parsert 75 17 0 07 Feb 2021
A Multi-Agent Reinforcement Learning Approach For Safe and Efficient Behavior Planning Of Connected Autonomous Vehicles Songyang Han Shangli Zhou Jiangwei Wang Lynn Pepin Caiwen Ding Jie Fu Fei Miao 60 24 0 09 Mar 2020