ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2011.08105
  4. Cited By
Enforcing robust control guarantees within neural network policies
v1v2 (latest)

Enforcing robust control guarantees within neural network policies

International Conference on Learning Representations (ICLR), 2020
16 November 2020
P. Donti
Melrose Roderick
Mahyar Fazlyab
J. Zico Kolter
    OOD
ArXiv (abs)PDFHTML

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

39 / 39 papers shown
Game-Theoretic Risk-Shaped Reinforcement Learning for Safe Autonomous Driving
Game-Theoretic Risk-Shaped Reinforcement Learning for Safe Autonomous Driving
Dong Hu
Fenqing Hu
Lidong Yang
Chao Huang
156
1
0
13 Oct 2025
Zero-Shot Transferable Solution Method for Parametric Optimal Control Problems
Zero-Shot Transferable Solution Method for Parametric Optimal Control Problems
Xingjian Li
Kelvin Kan
Deepanshu Verma
Krishna Kumar
Stanley Osher
Ján Drgoňa
OffRL
125
2
0
22 Sep 2025
Revisiting Deep AC-OPF
Revisiting Deep AC-OPF
Oluwatomisin I. Dada
Neil D. Lawrence
AI4CE
153
0
0
31 Aug 2025
FSNet: Feasibility-Seeking Neural Network for Constrained Optimization with Guarantees
FSNet: Feasibility-Seeking Neural Network for Constrained Optimization with Guarantees
Hoang T. Nguyen
Priya L. Donti
269
5
0
31 May 2025
A Guaranteed-Stable Neural Network Approach for Optimal Control of Nonlinear Systems
A Guaranteed-Stable Neural Network Approach for Optimal Control of Nonlinear SystemsAmerican Control Conference (ACC), 2025
Anran Li
John P. Swensen
Mehdi Hosseinzadeh
295
1
0
28 Jan 2025
TL-PCA: Transfer Learning of Principal Component Analysis
TL-PCA: Transfer Learning of Principal Component Analysis
Sharon Hendy
Yehuda Dar
457
4
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
422
3
0
23 Apr 2024
Application-Driven Innovation in Machine Learning
Application-Driven Innovation in Machine Learning
David Rolnick
Alán Aspuru-Guzik
Sara Beery
B. Dilkina
P. Donti
...
Hannah Kerner
C. Monteleoni
Esther Rolf
Milind Tambe
Adam White
235
29
0
26 Mar 2024
Verified Compositional Neuro-Symbolic Control for Stochastic Systems
  with Temporal Logic Tasks
Verified Compositional Neuro-Symbolic Control for Stochastic Systems with Temporal Logic Tasks
Jun Wang
Haojun Chen
Zihe Sun
Y. Kantaros
353
0
0
17 Nov 2023
Dissipative Imitation Learning for Discrete Dynamic Output Feedback
  Control with Sparse Data Sets
Dissipative Imitation Learning for Discrete Dynamic Output Feedback Control with Sparse Data SetsInternational Journal of Robust and Nonlinear Control (IJRNC), 2023
Amy K. Strong
Ethan J. LoCicero
L. Bridgeman
142
0
0
13 Sep 2023
Rational Neural Network Controllers
Rational Neural Network Controllers
M. Newton
A. Papachristodoulou
OODAAML
195
2
0
12 Jul 2023
Physics-Informed Machine Learning for Modeling and Control of Dynamical
  Systems
Physics-Informed Machine Learning for Modeling and Control of Dynamical SystemsAmerican Control Conference (ACC), 2023
Truong X. Nghiem
Ján Drgoňa
Colin N. Jones
Zoltán Nagy
Roland Schwan
...
J. Paulson
Andrea Carron
Melanie Zeilinger
Wenceslao Shaw-Cortez
D. Vrabie
PINNAI4CE
292
67
0
24 Jun 2023
A Survey of Contextual Optimization Methods for Decision Making under
  Uncertainty
A Survey of Contextual Optimization Methods for Decision Making under UncertaintyEuropean Journal of Operational Research (EJOR), 2023
Utsav Sadana
A. Chenreddy
Erick Delage
Alexandre Forel
Emma Frejinger
Thibaut Vidal
AI4CE
430
170
0
17 Jun 2023
High-Gain Disturbance Observer for Robust Trajectory Tracking of
  Quadrotors
High-Gain Disturbance Observer for Robust Trajectory Tracking of QuadrotorsControl Engineering Practice (Control Eng. Pract.), 2023
Mohammadreza Izadi
R. Faieghi
205
30
0
30 May 2023
Neural Lyapunov Control for Discrete-Time Systems
Neural Lyapunov Control for Discrete-Time SystemsNeural Information Processing Systems (NeurIPS), 2023
Junlin Wu
Andrew Clark
Y. Kantaros
Yevgeniy Vorobeychik
399
43
0
11 May 2023
A Policy Optimization Method Towards Optimal-time Stability
A Policy Optimization Method Towards Optimal-time StabilityConference on Robot Learning (CoRL), 2023
Shengjie Wang
Lan Fengb
Xiang Zheng
Yu-wen Cao
Oluwatosin Oseni
Haotian Xu
Tao Zhang
Yang Gao
281
3
0
02 Jan 2023
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement
  Learning
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement LearningAAAI Conference on Artificial Intelligence (AAAI), 2022
Ronghui Mu
Wenjie Ruan
Leandro Soriano Marcolino
Gaojie Jin
Q. Ni
319
7
0
22 Dec 2022
FI-ODE: Certifiably Robust Forward Invariance in Neural ODEs
FI-ODE: Certifiably Robust Forward Invariance in Neural ODEs
Yujia Huang
I. D. Rodriguez
Huan Zhang
Yuanyuan Shi
Yisong Yue
563
3
0
30 Oct 2022
Differentiable Safe Controller Design through Control Barrier Functions
Differentiable Safe Controller Design through Control Barrier FunctionsIEEE Control Systems Letters (L-CSS), 2022
Shuo Yang
Shaoru Chen
V. Preciado
Rahul Mangharam
425
21
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 ApproachIEEE Conference on Decision and Control (CDC), 2022
Wenceslao Shaw-Cortez
Ján Drgoňa
Aaron Tuor
M. Halappanavar
D. Vrabie
262
9
0
03 Aug 2022
Neural Lyapunov Differentiable Predictive Control
Neural Lyapunov Differentiable Predictive ControlIEEE Conference on Decision and Control (CDC), 2022
Sayak Mukherjee
Ján Drgoňa
Aaron Tuor
M. Halappanavar
D. Vrabie
285
20
0
22 May 2022
Fail-Safe Adversarial Generative Imitation Learning
Fail-Safe Adversarial Generative Imitation Learning
Philipp Geiger
C. Straehle
GAN
239
2
0
03 Mar 2022
Deep Q-learning: a robust control approach
Deep Q-learning: a robust control approachInternational Journal of Robust and Nonlinear Control (IJRNC), 2022
B. Varga
Balázs Kulcsár
M. Chehreghani
OOD
285
16
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 EnvironmentsEuropean Control Conference (ECC), 2022
Hengbo Ma
Bike Zhang
Masayoshi Tomizuka
Koushil Sreenath
394
26
0
04 Jan 2022
Revisiting PGD Attacks for Stability Analysis of Large-Scale Nonlinear
  Systems and Perception-Based Control
Revisiting PGD Attacks for Stability Analysis of Large-Scale Nonlinear Systems and Perception-Based Control
Aaron J. Havens
Darioush Keivan
Peter M. Seiler
Geir Dullerud
Bin Hu
AAML
248
3
0
03 Jan 2022
Policy Search for Model Predictive Control with Application to Agile
  Drone Flight
Policy Search for Model Predictive Control with Application to Agile Drone Flight
Yunlong Song
Davide Scaramuzza
400
111
0
07 Dec 2021
Recurrent Neural Network Controllers Synthesis with Stability Guarantees
  for Partially Observed Systems
Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed SystemsAAAI Conference on Artificial Intelligence (AAAI), 2021
Fangda Gu
He Yin
L. Ghaoui
Murat Arcak
Peter M. Seiler
Ming Jin
185
33
0
08 Sep 2021
Learning Barrier Certificates: Towards Safe Reinforcement Learning with
  Zero Training-time Violations
Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations
Yuping Luo
Tengyu Ma
OffRL
324
49
0
04 Aug 2021
Self-Correcting Neural Networks For Safe Classification
Self-Correcting Neural Networks For Safe Classification
Klas Leino
Aymeric Fromherz
Ravi Mangal
Matt Fredrikson
Bryan Parno
C. Păsăreanu
256
6
0
23 Jul 2021
CROP: Certifying Robust Policies for Reinforcement Learning through
  Functional Smoothing
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing
Fan Wu
Linyi Li
Zijian Huang
Yevgeniy Vorobeychik
Ding Zhao
Yue Liu
AAMLOffRL
223
64
0
17 Jun 2021
Differentiable Robust LQR Layers
Differentiable Robust LQR Layers
Ngo Anh Vien
Gerhard Neumann
183
4
0
10 Jun 2021
Safe Pontryagin Differentiable Programming
Safe Pontryagin Differentiable ProgrammingNeural Information Processing Systems (NeurIPS), 2021
Wanxin Jin
Shaoshuai Mou
George J. Pappas
427
54
0
31 May 2021
Enforcing Policy Feasibility Constraints through Differentiable
  Projection for Energy Optimization
Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy OptimizationEnergy-Efficient Computing and Networking (ECN), 2021
Bingqing Chen
Neural Network
Kyri Baker
J. Zico Kolter
Mario Berges
188
65
0
19 May 2021
Learning to Act Safely with Limited Exposure and Almost Sure Certainty
Learning to Act Safely with Limited Exposure and Almost Sure CertaintyIEEE Transactions on Automatic Control (IEEE TAC), 2021
Agustin Castellano
Hancheng Min
J. Bazerque
Enrique Mallada
336
6
0
18 May 2021
On Imitation Learning of Linear Control Policies: Enforcing Stability
  and Robustness Constraints via LMI Conditions
On Imitation Learning of Linear Control Policies: Enforcing Stability and Robustness Constraints via LMI ConditionsAmerican Control Conference (ACC), 2021
Aaron J. Havens
Bin Hu
255
18
0
24 Mar 2021
Reinforcement Learning for Freight Booking Control Problems
Reinforcement Learning for Freight Booking Control ProblemsJournal of Revenue and Pricing Management (JRPM), 2021
Justin Dumouchelle
Emma Frejinger
Andrea Lodi
238
2
0
29 Jan 2021
Stability-Certified Reinforcement Learning via Spectral Normalization
Stability-Certified Reinforcement Learning via Spectral NormalizationSocial Science Research Network (SSRN), 2020
R. Takase
N. Yoshikawa
T. Mariyama
T. Tsuchiya
188
5
0
26 Dec 2020
Offset-free setpoint tracking using neural network controllers
Offset-free setpoint tracking using neural network controllersConference on Learning for Dynamics & Control (L4DC), 2020
Patricia Pauli
Johannes Köhler
J. Berberich
Anne Koch
Frank Allgöwer
222
24
0
23 Nov 2020
Learning Constrained Adaptive Differentiable Predictive Control Policies
  With Guarantees
Learning Constrained Adaptive Differentiable Predictive Control Policies With Guarantees
Ján Drgoňa
Aaron Tuor
D. Vrabie
691
21
0
23 Apr 2020
1
Page 1 of 1