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Backward Reachability Analysis of Neural Feedback Loops: Techniques for
  Linear and Nonlinear Systems

Backward Reachability Analysis of Neural Feedback Loops: Techniques for Linear and Nonlinear Systems

28 September 2022
Nicholas Rober
Sydney M. Katz
Chelsea Sidrane
Esen Yel
Michael Everett
Mykel J. Kochenderfer
Jonathan P. How
ArXivPDFHTML

Papers citing "Backward Reachability Analysis of Neural Feedback Loops: Techniques for Linear and Nonlinear Systems"

19 / 19 papers shown
Title
BURNS: Backward Underapproximate Reachability for Neural-Feedback-Loop Systems
BURNS: Backward Underapproximate Reachability for Neural-Feedback-Loop Systems
Chelsea Sidrane
Jana Tumova
20
0
0
06 May 2025
Act Natural! Extending Naturalistic Projection to Multimodal Behavior Scenarios
Act Natural! Extending Naturalistic Projection to Multimodal Behavior Scenarios
Hamzah I. Khan
David Fridovich-Keil
18
0
0
03 May 2025
Learning Verifiable Control Policies Using Relaxed Verification
Learning Verifiable Control Policies Using Relaxed Verification
Puja Chaudhury
Alexander Estornell
Michael Everett
29
0
0
23 Apr 2025
Efficient Reachability Analysis for Convolutional Neural Networks Using Hybrid Zonotopes
Yuhao Zhang
Xiangru Xu
AAML
50
0
0
13 Mar 2025
Constraint-Aware Refinement for Safety Verification of Neural Feedback
  Loops
Constraint-Aware Refinement for Safety Verification of Neural Feedback Loops
Nicholas Rober
Jonathan P. How
30
1
0
30 Sep 2024
TTT: A Temporal Refinement Heuristic for Tenuously Tractable Discrete Time Reachability Problems
TTT: A Temporal Refinement Heuristic for Tenuously Tractable Discrete Time Reachability Problems
Chelsea Sidrane
Jana Tumova
22
3
0
19 Jul 2024
Act Natural! Projecting Autonomous System Trajectories Into Naturalistic
  Behavior Sets
Act Natural! Projecting Autonomous System Trajectories Into Naturalistic Behavior Sets
Hamzah I. Khan
Adam J. Thorpe
David Fridovich-Keil
13
1
0
29 May 2024
How Generalizable Is My Behavior Cloning Policy? A Statistical Approach
  to Trustworthy Performance Evaluation
How Generalizable Is My Behavior Cloning Policy? A Statistical Approach to Trustworthy Performance Evaluation
Joseph A. Vincent
Haruki Nishimura
Masha Itkina
Paarth Shah
Mac Schwager
Thomas Kollar
OffRL
29
9
0
08 May 2024
Lyapunov-stable Neural Control for State and Output Feedback: A Novel
  Formulation
Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation
Lujie Yang
Hongkai Dai
Zhouxing Shi
Cho-Jui Hsieh
Russ Tedrake
Huan Zhang
30
14
0
11 Apr 2024
POLICEd RL: Learning Closed-Loop Robot Control Policies with Provable
  Satisfaction of Hard Constraints
POLICEd RL: Learning Closed-Loop Robot Control Policies with Provable Satisfaction of Hard Constraints
Jean-Baptiste Bouvier
Kartik Nagpal
Negar Mehr
28
3
0
20 Mar 2024
Collision Avoidance Verification of Multiagent Systems with Learned
  Policies
Collision Avoidance Verification of Multiagent Systems with Learned Policies
Zihao Dong
Shayegan Omidshafiei
Michael Everett
19
1
0
05 Mar 2024
Conformal Predictive Safety Filter for RL Controllers in Dynamic
  Environments
Conformal Predictive Safety Filter for RL Controllers in Dynamic Environments
Kegan J. Strawn
Nora Ayanian
Lars Lindemann
21
8
0
05 Jun 2023
Efficient Deep Learning of Robust Policies from MPC using Imitation and
  Tube-Guided Data Augmentation
Efficient Deep Learning of Robust Policies from MPC using Imitation and Tube-Guided Data Augmentation
Andrea Tagliabue
Jonathan P. How
12
6
0
01 Jun 2023
Provably Bounding Neural Network Preimages
Provably Bounding Neural Network Preimages
Suhas Kotha
Christopher Brix
Zico Kolter
Krishnamurthy Dvijotham
Huan Zhang
AAML
15
12
0
02 Feb 2023
Automated Reachability Analysis of Neural Network-Controlled Systems via
  Adaptive Polytopes
Automated Reachability Analysis of Neural Network-Controlled Systems via Adaptive Polytopes
Taha Entesari
Mahyar Fazlyab
14
5
0
14 Dec 2022
DRIP: Domain Refinement Iteration with Polytopes for Backward
  Reachability Analysis of Neural Feedback Loops
DRIP: Domain Refinement Iteration with Polytopes for Backward Reachability Analysis of Neural Feedback Loops
Michael Everett
Rudy Bunel
Shayegan Omidshafiei
10
9
0
09 Dec 2022
A Hybrid Partitioning Strategy for Backward Reachability of Neural
  Feedback Loops
A Hybrid Partitioning Strategy for Backward Reachability of Neural Feedback Loops
Nicholas Rober
Michael Everett
Songan Zhang
Jonathan P. How
15
9
0
14 Oct 2022
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
222
1,832
0
03 Feb 2017
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
250
5,830
0
08 Jul 2016
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