Saved in:
| Main Authors: | Kanakeri, Vinay, Mitra, Aritra |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.00421 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Boosting-Enabled Robust System Identification of Partially Observed LTI Systems Under Heavy-Tailed Noise
by: Kanakeri, Vinay, et al.
Published: (2025)
by: Kanakeri, Vinay, et al.
Published: (2025)
Harnessing Data from Clustered LQR Systems: Personalized and Collaborative Policy Optimization
by: Kanakeri, Vinay, et al.
Published: (2025)
by: Kanakeri, Vinay, et al.
Published: (2025)
A Simple Finite-Time Analysis of TD Learning with Linear Function Approximation
by: Mitra, Aritra
Published: (2024)
by: Mitra, Aritra
Published: (2024)
Robust Q-Learning under Corrupted Rewards
by: Maity, Sreejeet, et al.
Published: (2024)
by: Maity, Sreejeet, et al.
Published: (2024)
Adversarially-Robust TD Learning with Markovian Data: Finite-Time Rates and Fundamental Limits
by: Maity, Sreejeet, et al.
Published: (2025)
by: Maity, Sreejeet, et al.
Published: (2025)
Model-Free Learning for the Linear Quadratic Regulator over Rate-Limited Channels
by: Ye, Lintao, et al.
Published: (2024)
by: Ye, Lintao, et al.
Published: (2024)
Corruption-Tolerant Asynchronous Q-Learning with Near-Optimal Rates
by: Maity, Sreejeet, et al.
Published: (2025)
by: Maity, Sreejeet, et al.
Published: (2025)
Towards Fast Rates for Federated and Multi-Task Reinforcement Learning
by: Zhu, Feng, et al.
Published: (2024)
by: Zhu, Feng, et al.
Published: (2024)
Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning
by: Zhang, Chenyu, et al.
Published: (2024)
by: Zhang, Chenyu, et al.
Published: (2024)
A Short and Unified Convergence Analysis of the SAG, SAGA, and IAG Algorithms
by: Zhu, Feng, et al.
Published: (2026)
by: Zhu, Feng, et al.
Published: (2026)
Online Control of Linear Systems under Unbounded Noise
by: Ito, Kaito, et al.
Published: (2024)
by: Ito, Kaito, et al.
Published: (2024)
Achieving Tighter Finite-Time Rates for Heterogeneous Federated Stochastic Approximation under Markovian Sampling
by: Zhu, Feng, et al.
Published: (2025)
by: Zhu, Feng, et al.
Published: (2025)
Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning
by: Mitra, Aritra, et al.
Published: (2023)
by: Mitra, Aritra, et al.
Published: (2023)
Optimal Centered Active Excitation in Linear System Identification
by: Ito, Kaito, et al.
Published: (2026)
by: Ito, Kaito, et al.
Published: (2026)
CLT-Optimal Parameter Error Bounds for Linear System Identification
by: Zhou, Yichen, et al.
Published: (2026)
by: Zhou, Yichen, et al.
Published: (2026)
Heavy-Tailed and Long-Range Dependent Noise in Stochastic Approximation: A Finite-Time Analysis
by: Chandak, Siddharth, et al.
Published: (2026)
by: Chandak, Siddharth, et al.
Published: (2026)
Tight Finite Time Bounds of Two-Time-Scale Linear Stochastic Approximation with Markovian Noise
by: Haque, Shaan Ul, et al.
Published: (2023)
by: Haque, Shaan Ul, et al.
Published: (2023)
Distributionally Robust Regret Optimal Control Under Moment-Based Ambiguity Sets
by: Taha, Feras Al, et al.
Published: (2025)
by: Taha, Feras Al, et al.
Published: (2025)
Meta-Learning for Physically-Constrained Neural System Identification
by: Chakrabarty, Ankush, et al.
Published: (2025)
by: Chakrabarty, Ankush, et al.
Published: (2025)
A New Approach to Controlling Linear Dynamical Systems
by: Brahmbhatt, Anand, et al.
Published: (2025)
by: Brahmbhatt, Anand, et al.
Published: (2025)
Finite Sample Identification of Partially Observed Bilinear Dynamical Systems
by: Sattar, Yahya, et al.
Published: (2025)
by: Sattar, Yahya, et al.
Published: (2025)
Robustness of Iteratively Pre-Conditioned Gradient-Descent Method: The Case of Distributed Linear Regression Problem
by: Chakrabarti, Kushal, et al.
Published: (2021)
by: Chakrabarti, Kushal, et al.
Published: (2021)
Mutual Information Optimal Control of Discrete-Time Linear Systems
by: Enami, Shoju, et al.
Published: (2025)
by: Enami, Shoju, et al.
Published: (2025)
Data-Driven Adversarial Online Control for Unknown Linear Systems
by: Liu, Zishun, et al.
Published: (2023)
by: Liu, Zishun, et al.
Published: (2023)
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)
Interpolation Conditions for Data Consistency and Prediction in Noisy Linear Systems
by: Vanelli, Martina, et al.
Published: (2025)
by: Vanelli, Martina, et al.
Published: (2025)
Symmetric Linear Dynamical Systems are Learnable from Few Observations
by: Vu, Minh, et al.
Published: (2025)
by: Vu, Minh, 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)
Non-Asymptotic Bounds for Closed-Loop Identification of Unstable Nonlinear Stochastic Systems
by: Siriya, Seth, et al.
Published: (2024)
by: Siriya, Seth, et al.
Published: (2024)
Identification and Adaptive Control of Markov Jump Systems: Sample Complexity and Regret Bounds
by: Sattar, Yahya, et al.
Published: (2021)
by: Sattar, Yahya, et al.
Published: (2021)
Learning of Linear Dynamical Systems as a Non-Commutative Polynomial Optimization Problem
by: Zhou, Quan, et al.
Published: (2020)
by: Zhou, Quan, et al.
Published: (2020)
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)
DASA: Delay-Adaptive Multi-Agent Stochastic Approximation
by: Fabbro, Nicolò Dal, et al.
Published: (2024)
by: Fabbro, Nicolò Dal, et al.
Published: (2024)
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling
by: Adibi, Arman, et al.
Published: (2024)
by: Adibi, Arman, et al.
Published: (2024)
Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems
by: Shin, Sungho, et al.
Published: (2022)
by: Shin, Sungho, et al.
Published: (2022)
High-probability Convergence Bounds for Nonlinear Stochastic Gradient Descent Under Heavy-tailed Noise
by: Armacki, Aleksandar, et al.
Published: (2023)
by: Armacki, Aleksandar, et al.
Published: (2023)
Mutual Information Optimal Density Control of Linear Systems and Generalized Schrödinger Bridges with Reference Refinement
by: Enami, Shoju, et al.
Published: (2026)
by: Enami, Shoju, et al.
Published: (2026)
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)
Tsallis Entropy Regularization for Linearly Solvable MDP and Linear Quadratic Regulator
by: Hashizume, Yota, et al.
Published: (2024)
by: Hashizume, Yota, et al.
Published: (2024)
Adversarially and Distributionally Robust Virtual Energy Storage Systems via the Scenario Approach
by: Pantazis, Georgios, et al.
Published: (2025)
by: Pantazis, Georgios, et al.
Published: (2025)
Similar Items
-
Boosting-Enabled Robust System Identification of Partially Observed LTI Systems Under Heavy-Tailed Noise
by: Kanakeri, Vinay, et al.
Published: (2025) -
Harnessing Data from Clustered LQR Systems: Personalized and Collaborative Policy Optimization
by: Kanakeri, Vinay, et al.
Published: (2025) -
A Simple Finite-Time Analysis of TD Learning with Linear Function Approximation
by: Mitra, Aritra
Published: (2024) -
Robust Q-Learning under Corrupted Rewards
by: Maity, Sreejeet, et al.
Published: (2024) -
Adversarially-Robust TD Learning with Markovian Data: Finite-Time Rates and Fundamental Limits
by: Maity, Sreejeet, et al.
Published: (2025)