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Towards Robust Data-Driven Control Synthesis for Nonlinear Systems with
  Actuation Uncertainty
v1v2 (latest)

Towards Robust Data-Driven Control Synthesis for Nonlinear Systems with Actuation Uncertainty

IEEE Conference on Decision and Control (CDC), 2020
21 November 2020
Andrew J. Taylor
Victor D. Dorobantu
Sarah Dean
Benjamin Recht
Yisong Yue
Aaron D. Ames
ArXiv (abs)PDFHTML

Papers citing "Towards Robust Data-Driven Control Synthesis for Nonlinear Systems with Actuation Uncertainty"

16 / 16 papers shown
Learning Linear Dynamics from Bilinear Observations
Learning Linear Dynamics from Bilinear ObservationsAmerican Control Conference (ACC), 2024
Yahya Sattar
Yassir Jedra
Sarah Dean
312
3
0
24 Sep 2024
Random Features Approximation for Control-Affine Systems
Random Features Approximation for Control-Affine Systems
Kimia Kazemian
Yahya Sattar
Sarah Dean
298
3
0
10 Jun 2024
Scaling Robust Optimization for Multi-Agent Robotic Systems: A Distributed Perspective
Scaling Robust Optimization for Multi-Agent Robotic Systems: A Distributed Perspective
Arshiya Taj Abdul
A. Saravanos
Evangelos A. Theodorou
308
2
0
26 Feb 2024
Enhancing Reinforcement Learning Agents with Local Guides
Enhancing Reinforcement Learning Agents with Local Guides
Paul Daoudi
Bogdan Robu
Christophe Prieur
Ludovic Dos Santos
M. Barlier
OnRL
307
3
0
21 Feb 2024
Safety Filters for Black-Box Dynamical Systems by Learning
  Discriminating Hyperplanes
Safety Filters for Black-Box Dynamical Systems by Learning Discriminating Hyperplanes
Will Lavanakul
Jason J. Choi
Koushil Sreenath
Claire J. Tomlin
363
19
0
07 Feb 2024
Sample Efficient Reinforcement Learning with Partial Dynamics Knowledge
Sample Efficient Reinforcement Learning with Partial Dynamics Knowledge
Meshal Alharbi
Mardavij Roozbehani
M. Dahleh
338
4
0
19 Dec 2023
Safeguarded Progress in Reinforcement Learning: Safe Bayesian
  Exploration for Control Policy Synthesis
Safeguarded Progress in Reinforcement Learning: Safe Bayesian Exploration for Control Policy Synthesis
Rohan Mitta
Hosein Hasanbeig
Jun Wang
Daniel Kroening
Y. Kantaros
Alessandro Abate
304
2
0
18 Dec 2023
Constraint-Guided Online Data Selection for Scalable Data-Driven Safety
  Filters in Uncertain Robotic Systems
Constraint-Guided Online Data Selection for Scalable Data-Driven Safety Filters in Uncertain Robotic SystemsIEEE Transactions on robotics (TRO), 2023
Jason J. Choi
F. Castañeda
Wonsuhk Jung
Bike Zhang
Claire J. Tomlin
Koushil Sreenath
300
5
0
23 Nov 2023
In-Distribution Barrier Functions: Self-Supervised Policy Filters that
  Avoid Out-of-Distribution States
In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution StatesConference on Learning for Dynamics & Control (L4DC), 2023
F. Castañeda
Haruki Nishimura
R. McAllister
Koushil Sreenath
Adrien Gaidon
OffRL
385
26
0
27 Jan 2023
Persistently Feasible Robust Safe Control by Safety Index Synthesis and
  Convex Semi-Infinite Programming
Persistently Feasible Robust Safe Control by Safety Index Synthesis and Convex Semi-Infinite ProgrammingIEEE Control Systems Letters (L-CSS), 2022
Tianhao Wei
Shucheng Kang
Weiye Zhao
Changliu Liu
216
30
0
14 Sep 2022
Recursively Feasible Probabilistic Safe Online Learning with Control
  Barrier Functions
Recursively Feasible Probabilistic Safe Online Learning with Control Barrier Functions
F. Castañeda
Jason J. Choi
Wonsuhk Jung
Bike Zhang
Claire Tomlin
Koushil Sreenath
305
12
0
23 Aug 2022
Safe Control with Learned Certificates: A Survey of Neural Lyapunov,
  Barrier, and Contraction methods
Safe Control with Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction methodsIEEE Transactions on robotics (TRO), 2022
Charles Dawson
Sicun Gao
Chuchu Fan
348
366
0
23 Feb 2022
Adversarially Robust Stability Certificates can be Sample-Efficient
Adversarially Robust Stability Certificates can be Sample-EfficientConference on Learning for Dynamics & Control (L4DC), 2021
Thomas T. Zhang
Stephen Tu
Nicholas M. Boffi
Jean-Jacques E. Slotine
Nikolai Matni
AAML
293
8
0
20 Dec 2021
Safe Learning in Robotics: From Learning-Based Control to Safe
  Reinforcement Learning
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning
Lukas Brunke
Melissa Greeff
Adam W. Hall
Zhaocong Yuan
Siqi Zhou
Jacopo Panerati
Angela P. Schoellig
OffRL
434
883
0
13 Aug 2021
Pointwise Feasibility of Gaussian Process-based Safety-Critical Control
  under Model Uncertainty
Pointwise Feasibility of Gaussian Process-based Safety-Critical Control under Model UncertaintyIEEE Conference on Decision and Control (CDC), 2021
F. Castañeda
Jason J. Choi
Bike Zhang
Claire Tomlin
Koushil Sreenath
378
62
0
13 Jun 2021
Safe Exploration in Model-based Reinforcement Learning using Control
  Barrier Functions
Safe Exploration in Model-based Reinforcement Learning using Control Barrier Functions
Max H. Cohen
C. Belta
OffRL
329
82
0
16 Apr 2021
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