ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1902.03319
  4. Cited By
A Differentiable Augmented Lagrangian Method for Bilevel Nonlinear
  Optimization
v1v2 (latest)

A Differentiable Augmented Lagrangian Method for Bilevel Nonlinear Optimization

8 February 2019
Benoit Landry
Zachary Manchester
Marco Pavone
ArXiv (abs)PDFHTML

Papers citing "A Differentiable Augmented Lagrangian Method for Bilevel Nonlinear Optimization"

11 / 11 papers shown
Title
Differentiable GPU-Parallelized Task and Motion Planning
William Shen
Caelan Reed Garrett
Ankit Goyal
Ankit Goyal
Tucker Hermans
Leslie Pack Kaelbling
Tomás Lozano-Pérez
F. Ramos
275
0
0
18 Nov 2024
DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning
DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning
Weikang Wan
Ziyu Wang
Yufei Wang
Zackory M. Erickson
David Held
123
4
0
08 Feb 2024
Revisiting Implicit Differentiation for Learning Problems in Optimal
  Control
Revisiting Implicit Differentiation for Learning Problems in Optimal Control
Ming Xu
Timothy Molloy
Stephen Gould
70
7
0
23 Oct 2023
Global Planning for Contact-Rich Manipulation via Local Smoothing of
  Quasi-dynamic Contact Models
Global Planning for Contact-Rich Manipulation via Local Smoothing of Quasi-dynamic Contact Models
Tao Pang
H.J. Terry Suh
Lujie Yang
Russ Tedrake
124
106
0
22 Jun 2022
First-Order Bilevel Topology Optimization for Fast Mechanical Design
First-Order Bilevel Topology Optimization for Fast Mechanical Design
Zherong Pan
Xifeng Gao
Kui Wu
45
1
0
13 Apr 2022
Lyapunov-stable neural-network control
Lyapunov-stable neural-network control
Hongkai Dai
Benoit Landry
Lujie Yang
Marco Pavone
Russ Tedrake
97
125
0
29 Sep 2021
Sim2Sim Evaluation of a Novel Data-Efficient Differentiable Physics
  Engine for Tensegrity Robots
Sim2Sim Evaluation of a Novel Data-Efficient Differentiable Physics Engine for Tensegrity Robots
Kun Wang
Mridul Aanjaneya
Kostas Bekris
85
15
0
10 Nov 2020
A First Principles Approach for Data-Efficient System Identification of
  Spring-Rod Systems via Differentiable Physics Engines
A First Principles Approach for Data-Efficient System Identification of Spring-Rod Systems via Differentiable Physics Engines
Kun Wang
Mridul Aanjaneya
Kostas Bekris
PINN
68
21
0
28 Apr 2020
Optimizing Dynamic Trajectories for Robustness to Disturbances Using
  Polytopic Projections
Optimizing Dynamic Trajectories for Robustness to Disturbances Using Polytopic Projections
Henrique Ferrolho
W. Merkt
V. Ivan
W. Wolfslag
S. Vijayakumar
32
26
0
01 Mar 2020
Meta-Learning with Implicit Gradients
Meta-Learning with Implicit Gradients
Aravind Rajeswaran
Chelsea Finn
Sham Kakade
Sergey Levine
127
859
0
10 Sep 2019
Fast UAV Trajectory Optimization using Bilevel Optimization with
  Analytical Gradients
Fast UAV Trajectory Optimization using Bilevel Optimization with Analytical Gradients
Weidong Sun
Gao Tang
Kris K. Hauser
58
55
0
27 Nov 2018
1