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Enforcing robust control guarantees within neural network policies

Enforcing robust control guarantees within neural network policies

16 November 2020
P. Donti
Melrose Roderick
Mahyar Fazlyab
J. Zico Kolter
    OOD
ArXivPDFHTML

Papers citing "Enforcing robust control guarantees within neural network policies"

11 / 11 papers shown
Title
TL-PCA: Transfer Learning of Principal Component Analysis
TL-PCA: Transfer Learning of Principal Component Analysis
Sharon Hendy
Yehuda Dar
166
1
0
14 Oct 2024
Myopically Verifiable Probabilistic Certificates for Safe Control and
  Learning
Myopically Verifiable Probabilistic Certificates for Safe Control and Learning
Zhuoyuan Wang
Haoming Jing
Christian Kurniawan
Albert Chern
Yorie Nakahira
41
1
0
23 Apr 2024
A Policy Optimization Method Towards Optimal-time Stability
A Policy Optimization Method Towards Optimal-time Stability
Shengjie Wang
Lan Fengb
Xiang Zheng
Yu-wen Cao
Oluwatosin Oseni
Haotian Xu
Tao Zhang
Yang Gao
39
1
0
02 Jan 2023
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement
  Learning
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning
Ronghui Mu
Wenjie Ruan
Leandro Soriano Marcolino
Gaojie Jin
Q. Ni
42
5
0
22 Dec 2022
Differentiable Safe Controller Design through Control Barrier Functions
Differentiable Safe Controller Design through Control Barrier Functions
Shuo Yang
Shaoru Chen
V. Preciado
Rahul Mangharam
52
18
0
20 Sep 2022
Differentiable Predictive Control with Safety Guarantees: A Control
  Barrier Function Approach
Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approach
Wenceslao Shaw-Cortez
Ján Drgoňa
Aaron Tuor
M. Halappanavar
D. Vrabie
23
7
0
03 Aug 2022
Neural Lyapunov Differentiable Predictive Control
Neural Lyapunov Differentiable Predictive Control
Sayak Mukherjee
Ján Drgoňa
Aaron Tuor
M. Halappanavar
D. Vrabie
42
13
0
22 May 2022
Deep Q-learning: a robust control approach
Deep Q-learning: a robust control approach
B. Varga
Balázs Kulcsár
M. Chehreghani
OOD
30
9
0
21 Jan 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
Masayoshi Tomizuka
Koushil Sreenath
20
23
0
04 Jan 2022
Recurrent Neural Network Controllers Synthesis with Stability Guarantees
  for Partially Observed Systems
Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems
Fangda Gu
He Yin
L. Ghaoui
Murat Arcak
Peter M. Seiler
Ming Jin
25
25
0
08 Sep 2021
Stability-Certified Reinforcement Learning via Spectral Normalization
Stability-Certified Reinforcement Learning via Spectral Normalization
R. Takase
N. Yoshikawa
T. Mariyama
T. Tsuchiya
13
4
0
26 Dec 2020
1