Reinforcement Learning of Structured Control for Linear Systems with Unknown State Matrix
Fuente:
arXiv
Saved in:
| Main Authors: | Mukherjee, Sayak, Vu, Thanh Long |
|---|---|
| Format: | Preprint |
| Published: |
2020
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On the System Theoretic Offline Learning of Continuous-Time LQR with Exogenous Disturbances
by: Mukherjee, Sayak, et al.
Published: (2025)
by: Mukherjee, Sayak, et al.
Published: (2025)
Stochastic Reinforcement Learning with Stability Guarantees for Control of Unknown Nonlinear Systems
by: Quartz, Thanin, et al.
Published: (2024)
by: Quartz, Thanin, et al.
Published: (2024)
Data-Driven Adversarial Online Control for Unknown Linear Systems
by: Liu, Zishun, et al.
Published: (2023)
by: Liu, Zishun, et al.
Published: (2023)
Learning-Based Optimal Control with Performance Guarantees for Unknown Systems with Latent States
by: Lefringhausen, Robert, et al.
Published: (2023)
by: Lefringhausen, Robert, et al.
Published: (2023)
A PAC-Bayes Approach for Controlling Unknown Linear Discrete-time Systems
by: Luo, Yujia, et al.
Published: (2026)
by: Luo, Yujia, et al.
Published: (2026)
Neural Lyapunov Differentiable Predictive Control
by: Mukherjee, Sayak, et al.
Published: (2022)
by: Mukherjee, Sayak, et al.
Published: (2022)
Physics-Informed Learning of Proprietary Inverter Models for Grid Dynamic Studies
by: Kwon, Kyung-Bin, et al.
Published: (2025)
by: Kwon, Kyung-Bin, et al.
Published: (2025)
Risk-Aware Safe Reinforcement Learning for Control of Stochastic Linear Systems
by: Esmaeili, Babak, et al.
Published: (2025)
by: Esmaeili, Babak, et al.
Published: (2025)
Enhancing Cyber Resilience of Networked Microgrids using Vertical Federated Reinforcement Learning
by: Mukherjee, Sayak, et al.
Published: (2022)
by: Mukherjee, Sayak, et al.
Published: (2022)
Concurrent Learning of Policy and Unknown Safety Constraints in Reinforcement Learning
by: Yifru, Lunet, et al.
Published: (2024)
by: Yifru, Lunet, et al.
Published: (2024)
Optimal Control of Nonlinear Systems with Unknown Dynamics
by: Hao, Wenjian, et al.
Published: (2023)
by: Hao, Wenjian, et al.
Published: (2023)
Analysis of Thompson Sampling for Controlling Unknown Linear Diffusion Processes
by: Faradonbeh, Mohamad Kazem Shirani, et al.
Published: (2022)
by: Faradonbeh, Mohamad Kazem Shirani, et al.
Published: (2022)
Learning to Control Unknown Strongly Monotone Games
by: Chandak, Siddharth, et al.
Published: (2024)
by: Chandak, Siddharth, et al.
Published: (2024)
Predictive Linear Online Tracking for Unknown Targets
by: Tsiamis, Anastasios, et al.
Published: (2024)
by: Tsiamis, Anastasios, et al.
Published: (2024)
Symmetric Linear Dynamical Systems are Learnable from Few Observations
by: Vu, Minh, et al.
Published: (2025)
by: Vu, Minh, et al.
Published: (2025)
Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning
by: Jonnarth, Arvi, et al.
Published: (2023)
by: Jonnarth, Arvi, et al.
Published: (2023)
Resilient Control of Networked Microgrids using Vertical Federated Reinforcement Learning: Designs and Real-Time Test-Bed Validations
by: Mukherjee, Sayak, et al.
Published: (2023)
by: Mukherjee, Sayak, et al.
Published: (2023)
Learning Koopman-based Stability Certificates for Unknown Nonlinear Systems
by: Zhou, Ruikun, et al.
Published: (2024)
by: Zhou, Ruikun, et al.
Published: (2024)
Barrier Certificates for Unknown Systems with Latent States and Polynomial Dynamics using Bayesian Inference
by: Lefringhausen, Robert, et al.
Published: (2025)
by: Lefringhausen, Robert, et al.
Published: (2025)
Learning to Stabilize Unknown LTI Systems on a Single Trajectory under Stochastic Noise
by: Zhang, Ziyi, et al.
Published: (2024)
by: Zhang, Ziyi, et al.
Published: (2024)
Online Control of Linear Systems under Unbounded Noise
by: Ito, Kaito, et al.
Published: (2024)
by: Ito, Kaito, et al.
Published: (2024)
A New Approach to Controlling Linear Dynamical Systems
by: Brahmbhatt, Anand, et al.
Published: (2025)
by: Brahmbhatt, Anand, et al.
Published: (2025)
Sample Complexity of the Linear Quadratic Regulator: A Reinforcement Learning Lens
by: Moghaddam, Amirreza Neshaei, et al.
Published: (2024)
by: Moghaddam, Amirreza Neshaei, et al.
Published: (2024)
Online Reinforcement Learning in Markov Decision Process Using Linear Programming
by: Leon, Vincent, et al.
Published: (2023)
by: Leon, Vincent, et al.
Published: (2023)
Application of Deep Reinforcement Learning to Event-Triggered Control for Networked Artificial Pancreas Systems
by: Ikemoto, Junya, et al.
Published: (2026)
by: Ikemoto, Junya, et al.
Published: (2026)
Multi-agent Deep Reinforcement Learning for Distributed Load Restoration
by: Vu, Linh, et al.
Published: (2023)
by: Vu, Linh, et al.
Published: (2023)
Mutual Information Optimal Control of Discrete-Time Linear Systems
by: Enami, Shoju, et al.
Published: (2025)
by: Enami, Shoju, et al.
Published: (2025)
On Policy Stochasticity in Mutual Information Optimal Control of Linear Systems
by: Enami, Shoju, et al.
Published: (2025)
by: Enami, Shoju, et al.
Published: (2025)
Efficient Spectral Control of Partially Observed Linear Dynamical Systems
by: Brahmbhatt, Anand, et al.
Published: (2025)
by: Brahmbhatt, Anand, et al.
Published: (2025)
Can Transformers Learn Optimal Filtering for Unknown Systems?
by: Balim, Haldun, et al.
Published: (2023)
by: Balim, Haldun, et al.
Published: (2023)
Learning to Admit Optimally in an $M/M/k/k+N$ Queueing System with Unknown Service Rate
by: Adler, Saghar, et al.
Published: (2022)
by: Adler, Saghar, et al.
Published: (2022)
Improved Robustness of Deep Reinforcement Learning for Control of Time-Varying Systems by Bounded Extremum Seeking
by: Saxena, Shaifalee, et al.
Published: (2025)
by: Saxena, Shaifalee, et al.
Published: (2025)
Nuclear Microreactor Control with Deep Reinforcement Learning
by: Tunkle, Leo, et al.
Published: (2025)
by: Tunkle, Leo, et al.
Published: (2025)
Dual Control of Linear Systems from Bilinear Observations with Belief Space Model Predictive Control
by: Cao, Daniel, et al.
Published: (2026)
by: Cao, Daniel, et al.
Published: (2026)
Foundations of Safe Online Reinforcement Learning in the Linear Quadratic Regulator: Generalized Baselines
by: Schiffer, Benjamin, et al.
Published: (2024)
by: Schiffer, Benjamin, et al.
Published: (2024)
Foundations of Safe Online Reinforcement Learning in the Linear Quadratic Regulator: $\sqrt{T}$-Regret
by: Schiffer, Benjamin, et al.
Published: (2025)
by: Schiffer, Benjamin, et al.
Published: (2025)
Learning-Based Shielding for Safe Autonomy under Unknown Dynamics
by: Reed, Robert, et al.
Published: (2024)
by: Reed, Robert, et al.
Published: (2024)
Any-Time Regret-Guaranteed Algorithm for Control of Linear Quadratic Systems
by: Chekan, Jafar Abbaszadeh, et al.
Published: (2024)
by: Chekan, Jafar Abbaszadeh, et al.
Published: (2024)
Pick-to-Learn for Systems and Control: Data-driven Synthesis with State-of-the-art Safety Guarantees
by: Paccagnan, Dario, et al.
Published: (2025)
by: Paccagnan, Dario, et al.
Published: (2025)
Structured Reinforcement Learning for Incentivized Stochastic Covert Optimization
by: Jain, Adit, et al.
Published: (2024)
by: Jain, Adit, et al.
Published: (2024)
Similar Items
-
On the System Theoretic Offline Learning of Continuous-Time LQR with Exogenous Disturbances
by: Mukherjee, Sayak, et al.
Published: (2025) -
Stochastic Reinforcement Learning with Stability Guarantees for Control of Unknown Nonlinear Systems
by: Quartz, Thanin, et al.
Published: (2024) -
Data-Driven Adversarial Online Control for Unknown Linear Systems
by: Liu, Zishun, et al.
Published: (2023) -
Learning-Based Optimal Control with Performance Guarantees for Unknown Systems with Latent States
by: Lefringhausen, Robert, et al.
Published: (2023) -
A PAC-Bayes Approach for Controlling Unknown Linear Discrete-time Systems
by: Luo, Yujia, et al.
Published: (2026)