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Stabilizing Dynamical Systems via Policy Gradient Methods

Stabilizing Dynamical Systems via Policy Gradient Methods

13 October 2021
Juan C. Perdomo
Jack Umenberger
Max Simchowitz
ArXivPDFHTML

Papers citing "Stabilizing Dynamical Systems via Policy Gradient Methods"

22 / 22 papers shown
Title
Learning Stabilizing Policies via an Unstable Subspace Representation
Learning Stabilizing Policies via an Unstable Subspace Representation
Leonardo F. Toso
Lintao Ye
James Anderson
29
0
0
02 May 2025
Policy Gradient for LQR with Domain Randomization
Policy Gradient for LQR with Domain Randomization
Tesshu Fujinami
Bruce D. Lee
Nikolai Matni
George J. Pappas
29
0
0
31 Mar 2025
Two-Timescale Optimization Framework for Decentralized Linear-Quadratic
  Optimal Control
Two-Timescale Optimization Framework for Decentralized Linear-Quadratic Optimal Control
Lechen Feng
Yuan-Hua Ni
Xuebo Zhang
23
0
0
17 Jun 2024
Learning to Stabilize Unknown LTI Systems on a Single Trajectory under
  Stochastic Noise
Learning to Stabilize Unknown LTI Systems on a Single Trajectory under Stochastic Noise
Ziyi Zhang
Yorie Nakahira
Guannan Qu
17
2
0
31 May 2024
Model-Free $μ$-Synthesis: A Nonsmooth Optimization Perspective
Model-Free μμμ-Synthesis: A Nonsmooth Optimization Perspective
Darioush Keivan
Xing-ming Guo
Peter M. Seiler
Geir Dullerud
Bin Hu
28
0
0
18 Feb 2024
Meta-Learning Linear Quadratic Regulators: A Policy Gradient MAML
  Approach for Model-free LQR
Meta-Learning Linear Quadratic Regulators: A Policy Gradient MAML Approach for Model-free LQR
Leonardo F. Toso
Donglin Zhan
James Anderson
Han Wang
26
9
0
25 Jan 2024
Controlgym: Large-Scale Control Environments for Benchmarking
  Reinforcement Learning Algorithms
Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms
Xiangyuan Zhang
Weichao Mao
S. Mowlavi
M. Benosman
Tamer Basar
OffRL
AI4CE
24
2
0
30 Nov 2023
On the Hardness of Learning to Stabilize Linear Systems
On the Hardness of Learning to Stabilize Linear Systems
Xiong Zeng
Zexiang Liu
Zhe Du
N. Ozay
Mario Sznaier
21
3
0
18 Nov 2023
Stabilizing reinforcement learning control: A modular framework for
  optimizing over all stable behavior
Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior
Nathan P. Lawrence
Philip D. Loewen
Shuyuan Wang
M. Forbes
R. Bhushan Gopaluni
18
2
0
21 Oct 2023
Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning
  and Autoregression
Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression
Adam Block
Dylan J. Foster
Akshay Krishnamurthy
Max Simchowitz
Cyril Zhang
30
4
0
17 Oct 2023
Oracle Complexity Reduction for Model-free LQR: A Stochastic
  Variance-Reduced Policy Gradient Approach
Oracle Complexity Reduction for Model-free LQR: A Stochastic Variance-Reduced Policy Gradient Approach
Leonardo F. Toso
Han Wang
James Anderson
27
2
0
19 Sep 2023
Global Convergence of Receding-Horizon Policy Search in Learning
  Estimator Designs
Global Convergence of Receding-Horizon Policy Search in Learning Estimator Designs
Xiangyuan Zhang
S. Mowlavi
M. Benosman
Tamer Basar
24
7
0
09 Sep 2023
Accelerated Optimization Landscape of Linear-Quadratic Regulator
Accelerated Optimization Landscape of Linear-Quadratic Regulator
Le Feng
Yuan‐Hua Ni
18
0
0
07 Jul 2023
Revisiting LQR Control from the Perspective of Receding-Horizon Policy
  Gradient
Revisiting LQR Control from the Perspective of Receding-Horizon Policy Gradient
Xiangyuan Zhang
Tamer Basar
28
19
0
25 Feb 2023
Learning the Kalman Filter with Fine-Grained Sample Complexity
Learning the Kalman Filter with Fine-Grained Sample Complexity
Xiangyuan Zhang
Bin Hu
Tamer Bacsar
18
16
0
30 Jan 2023
Global Convergence of Direct Policy Search for State-Feedback
  $\mathcal{H}_\infty$ Robust Control: A Revisit of Nonsmooth Synthesis with
  Goldstein Subdifferential
Global Convergence of Direct Policy Search for State-Feedback H∞\mathcal{H}_\inftyH∞​ Robust Control: A Revisit of Nonsmooth Synthesis with Goldstein Subdifferential
Xing-ming Guo
Bin Hu
30
12
0
20 Oct 2022
Towards a Theoretical Foundation of Policy Optimization for Learning
  Control Policies
Towards a Theoretical Foundation of Policy Optimization for Learning Control Policies
Bin Hu
K. Zhang
Na Li
M. Mesbahi
Maryam Fazel
Tamer Bacsar
84
27
0
10 Oct 2022
Statistical Learning Theory for Control: A Finite Sample Perspective
Statistical Learning Theory for Control: A Finite Sample Perspective
Anastasios Tsiamis
Ingvar M. Ziemann
Nikolai Matni
George J. Pappas
23
73
0
12 Sep 2022
Context-aware controller inference for stabilizing dynamical systems
  from scarce data
Context-aware controller inference for stabilizing dynamical systems from scarce data
Steffen W. R. Werner
Benjamin Peherstorfer
9
2
0
22 Jul 2022
How are policy gradient methods affected by the limits of control?
How are policy gradient methods affected by the limits of control?
Ingvar M. Ziemann
Anastasios Tsiamis
H. Sandberg
Nikolai Matni
25
14
0
14 Jun 2022
A Complete Characterization of Linear Estimators for Offline Policy
  Evaluation
A Complete Characterization of Linear Estimators for Offline Policy Evaluation
Juan C. Perdomo
A. Krishnamurthy
Peter L. Bartlett
Sham Kakade
OffRL
27
3
0
08 Mar 2022
Natural Actor-Critic Converges Globally for Hierarchical Linear
  Quadratic Regulator
Natural Actor-Critic Converges Globally for Hierarchical Linear Quadratic Regulator
Yuwei Luo
Zhuoran Yang
Zhaoran Wang
Mladen Kolar
26
9
0
14 Dec 2019
1