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Safe Pontryagin Differentiable Programming

Safe Pontryagin Differentiable Programming

31 May 2021
Wanxin Jin
Shaoshuai Mou
George J. Pappas
ArXivPDFHTML

Papers citing "Safe Pontryagin Differentiable Programming"

13 / 13 papers shown
Title
Online Control-Informed Learning
Online Control-Informed Learning
Zihao Liang
Tianyu Zhou
Zehui Lu
Shaoshuai Mou
33
1
0
04 Oct 2024
Shadow Program Inversion with Differentiable Planning: A Framework for Unified Robot Program Parameter and Trajectory Optimization
Shadow Program Inversion with Differentiable Planning: A Framework for Unified Robot Program Parameter and Trajectory Optimization
Benjamin Alt
Claudius Kienle
Darko Katic
Rainer Jäkel
Michael Beetz
49
1
0
13 Sep 2024
Complementarity-Free Multi-Contact Modeling and Optimization for Dexterous Manipulation
Complementarity-Free Multi-Contact Modeling and Optimization for Dexterous Manipulation
Wanxin Jin
61
6
0
14 Aug 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
Zackory M. Erickson
David Held
David Held
31
4
0
08 Feb 2024
DiffTune-MPC: Closed-Loop Learning for Model Predictive Control
DiffTune-MPC: Closed-Loop Learning for Model Predictive Control
Ran Tao
Sheng Cheng
Xiaofeng Wang
Shenlong Wang
N. Hovakimyan
27
5
0
18 Dec 2023
Adaptive Policy Learning to Additional Tasks
Adaptive Policy Learning to Additional Tasks
Wenjian Hao
Zehui Lu
Zihao Liang
Tianyu Zhou
Shaoshuai Mou
26
0
0
24 May 2023
Cooperative Tuning of Multi-Agent Optimal Control Systems
Cooperative Tuning of Multi-Agent Optimal Control Systems
Zehui Lu
Wanxin Jin
Shaoshuai Mou
B.D.O. Anderson
21
9
0
24 Sep 2022
Learning Differentiable Safety-Critical Control using Control Barrier
  Functions for Generalization to Novel Environments
Learning Differentiable Safety-Critical Control using Control Barrier Functions for Generalization to Novel Environments
Hengbo Ma
Bike Zhang
M. Tomizuka
K. Sreenath
20
23
0
04 Jan 2022
Learning Linear Complementarity Systems
Learning Linear Complementarity Systems
Wanxin Jin
Alp Aydinoglu
Mathew Halm
Michael Posa
19
16
0
25 Dec 2021
Learning from Human Directional Corrections
Learning from Human Directional Corrections
Wanxin Jin
Todd D. Murphey
Zehui Lu
Shaoshuai Mou
36
15
0
30 Nov 2020
Learning from Sparse Demonstrations
Learning from Sparse Demonstrations
Wanxin Jin
Todd D. Murphey
Dana Kulić
Neta Ezer
Shaoshuai Mou
19
35
0
05 Aug 2020
Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave
  Saddle Point Problems without Strong Convexity
Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave Saddle Point Problems without Strong Convexity
S. Du
Wei Hu
58
120
0
05 Feb 2018
Safe Exploration in Markov Decision Processes
Safe Exploration in Markov Decision Processes
T. Moldovan
Pieter Abbeel
78
308
0
22 May 2012
1