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DeepReach: A Deep Learning Approach to High-Dimensional Reachability

DeepReach: A Deep Learning Approach to High-Dimensional Reachability

4 November 2020
Somil Bansal
Claire Tomlin
ArXivPDFHTML

Papers citing "DeepReach: A Deep Learning Approach to High-Dimensional Reachability"

30 / 80 papers shown
Title
The Safety Filter: A Unified View of Safety-Critical Control in
  Autonomous Systems
The Safety Filter: A Unified View of Safety-Critical Control in Autonomous Systems
Kai-Chieh Hsu
Haimin Hu
J. F. Fisac
37
73
0
11 Sep 2023
Deception Game: Closing the Safety-Learning Loop in Interactive Robot
  Autonomy
Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomy
Haimin Hu
Zixu Zhang
Kensuke Nakamura
Andrea V. Bajcsy
J. F. Fisac
30
12
0
03 Sep 2023
Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed)
  Neural Networks
Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed) Neural Networks
Yequan Zhao
Xinling Yu
Zhixiong Chen
Z. Liu
Sijia Liu
Zheng-Wei Zhang
PINN
35
11
0
18 Aug 2023
Refining Obstacle Perception Safety Zones via Maneuver-Based
  Decomposition
Refining Obstacle Perception Safety Zones via Maneuver-Based Decomposition
Sever Topan
Yuxiao Chen
Edward Schmerling
Karen Leung
Jonas Nilsson
Michael Cox
Marco Pavone
22
1
0
11 Aug 2023
Learning optimal controllers: a dynamical motion primitive approach
Learning optimal controllers: a dynamical motion primitive approach
Hugo Tadashi M. Kussaba
Abdalla Swikir
Fan Wu
Anastasija Demerdjieva
Gitta Kutyniok
Sami Haddadin
24
1
0
10 Jun 2023
Neural Lyapunov and Optimal Control
Neural Lyapunov and Optimal Control
Daniel Layeghi
Steve Tonneau
M. Mistry
21
0
0
24 May 2023
Deep Model Predictive Control
Deep Model Predictive Control
Prabhat Kumar Mishra
M. V. Gasparino
A. E. B. Velasquez
Girish Chowdhary
16
0
0
27 Feb 2023
Neural Optimal Control using Learned System Dynamics
Neural Optimal Control using Learned System Dynamics
Selim Engin
Volkan Isler
22
3
0
20 Feb 2023
Trajectories for the Optimal Collection of Information
Trajectories for the Optimal Collection of Information
Matthew R. Kirchner
David Grimsman
J. Hespanha
Jason R. Marden
14
0
0
06 Jan 2023
ISAACS: Iterative Soft Adversarial Actor-Critic for Safety
ISAACS: Iterative Soft Adversarial Actor-Critic for Safety
Kai Hsu
D. Nguyen
J. F. Fisac
23
30
0
06 Dec 2022
Discovering Closed-Loop Failures of Vision-Based Controllers via
  Reachability Analysis
Discovering Closed-Loop Failures of Vision-Based Controllers via Reachability Analysis
Kaustav Chakraborty
Somil Bansal
33
12
0
04 Nov 2022
Learning Autonomous Vehicle Safety Concepts from Demonstrations
Learning Autonomous Vehicle Safety Concepts from Demonstrations
Karen Leung
Sushant Veer
Edward Schmerling
Marco Pavone
16
7
0
06 Oct 2022
Online Update of Safety Assurances Using Confidence-Based Predictions
Online Update of Safety Assurances Using Confidence-Based Predictions
Kensuke Nakamura
Somil Bansal
50
27
0
03 Oct 2022
Parameter-Conditioned Reachable Sets for Updating Safety Assurances
  Online
Parameter-Conditioned Reachable Sets for Updating Safety Assurances Online
Javier Borquez
Kensuke Nakamura
Somil Bansal
14
14
0
29 Sep 2022
Generating Formal Safety Assurances for High-Dimensional Reachability
Generating Formal Safety Assurances for High-Dimensional Reachability
Albert Lin
Somil Bansal
14
22
0
25 Sep 2022
Case Studies for Computing Density of Reachable States for Safe
  Autonomous Motion Planning
Case Studies for Computing Density of Reachable States for Safe Autonomous Motion Planning
Yue Meng
Zeng Qiu
Md Tawhid Bin Waez
Chuchu Fan
31
5
0
16 Sep 2022
Computing Forward Reachable Sets for Nonlinear Adaptive Multirotor
  Controllers
Computing Forward Reachable Sets for Nonlinear Adaptive Multirotor Controllers
Ju Han
Han-Lim Choi
9
0
0
16 Sep 2022
Approximating Discontinuous Nash Equilibrial Values of Two-Player
  General-Sum Differential Games
Approximating Discontinuous Nash Equilibrial Values of Two-Player General-Sum Differential Games
Lei Zhang
Mukesh Ghimire
Wenlong Zhang
Zhenni Xu
Yi Ren
27
7
0
05 Jul 2022
TT-PINN: A Tensor-Compressed Neural PDE Solver for Edge Computing
TT-PINN: A Tensor-Compressed Neural PDE Solver for Edge Computing
Z. Liu
Xinling Yu
Zheng-Wei Zhang
PINN
16
7
0
04 Jul 2022
Reachability Constrained Reinforcement Learning
Reachability Constrained Reinforcement Learning
Dongjie Yu
Haitong Ma
Sheng Li
Jianyu Chen
63
54
0
16 May 2022
Bridging Model-based Safety and Model-free Reinforcement Learning
  through System Identification of Low Dimensional Linear Models
Bridging Model-based Safety and Model-free Reinforcement Learning through System Identification of Low Dimensional Linear Models
Zhongyu Li
Jun Zeng
A. Thirugnanam
K. Sreenath
26
16
0
11 May 2022
Infinite-Horizon Reach-Avoid Zero-Sum Games via Deep Reinforcement
  Learning
Infinite-Horizon Reach-Avoid Zero-Sum Games via Deep Reinforcement Learning
Jingqi Li
Donggun Lee
Somayeh Sojoudi
Claire Tomlin
11
11
0
18 Mar 2022
Computation of Regions of Attraction for Hybrid Limit Cycles Using
  Reachability: An Application to Walking Robots
Computation of Regions of Attraction for Hybrid Limit Cycles Using Reachability: An Application to Walking Robots
Jason J. Choi
Ayush Agrawal
K. Sreenath
Claire Tomlin
Somil Bansal
14
12
0
21 Jan 2022
SympOCnet: Solving optimal control problems with applications to
  high-dimensional multi-agent path planning problems
SympOCnet: Solving optimal control problems with applications to high-dimensional multi-agent path planning problems
Tingwei Meng
Zhen Zhang
Jérome Darbon
George Karniadakis
26
15
0
14 Jan 2022
Safety and Liveness Guarantees through Reach-Avoid Reinforcement
  Learning
Safety and Liveness Guarantees through Reach-Avoid Reinforcement Learning
Kai Hsu
Vicencc Rubies-Royo
Claire Tomlin
J. F. Fisac
16
62
0
23 Dec 2021
Fast PDE-constrained optimization via self-supervised operator learning
Fast PDE-constrained optimization via self-supervised operator learning
Sizhuang He
Mohamed Aziz Bhouri
P. Perdikaris
47
28
0
25 Oct 2021
Neural Network Verification in Control
Neural Network Verification in Control
M. Everett
AAML
34
16
0
30 Sep 2021
Learning Density Distribution of Reachable States for Autonomous Systems
Learning Density Distribution of Reachable States for Autonomous Systems
Yue Meng
Dawei Sun
Zeng Qiu
Md Tawhid Bin Waez
Chuchu Fan
77
19
0
14 Sep 2021
Comparison between safety methods control barrier function vs.
  reachability analysis
Comparison between safety methods control barrier function vs. reachability analysis
Zhichao Li
13
29
0
24 Jun 2021
Neural network architectures using min-plus algebra for solving certain
  high dimensional optimal control problems and Hamilton-Jacobi PDEs
Neural network architectures using min-plus algebra for solving certain high dimensional optimal control problems and Hamilton-Jacobi PDEs
Jérome Darbon
P. Dower
Tingwei Meng
8
22
0
07 May 2021
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