Saved in:
| Main Authors: | Gibson, Travis E., Acharya, Sawal |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.04572 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On the stability of gradient descent with second order dynamics for time-varying cost functions
by: Gibson, Travis E., et al.
Published: (2024)
by: Gibson, Travis E., et al.
Published: (2024)
Regret Analysis of Policy Optimization over Submanifolds for Linearly Constrained Online LQG
by: Chang, Ting-Jui, et al.
Published: (2024)
by: Chang, Ting-Jui, et al.
Published: (2024)
Almost Surely $\sqrt{T}$ Regret for Adaptive LQR
by: Lu, Yiwen, et al.
Published: (2023)
by: Lu, Yiwen, et al.
Published: (2023)
Learning Decentralized Linear Quadratic Regulators with $\sqrt{T}$ Regret
by: Ye, Lintao, et al.
Published: (2022)
by: Ye, Lintao, et al.
Published: (2022)
Achieving Tractable Minimax Optimal Regret in Average Reward MDPs
by: Boone, Victor, et al.
Published: (2024)
by: Boone, Victor, et al.
Published: (2024)
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)
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)
Online Nonstochastic Prediction: Logarithmic Regret via Predictive Online Least Squares
by: Pai, Chih-Fan, et al.
Published: (2026)
by: Pai, Chih-Fan, et al.
Published: (2026)
Sublinear Regret for a Class of Continuous-Time Linear-Quadratic Reinforcement Learning Problems
by: Huang, Yilie, et al.
Published: (2024)
by: Huang, Yilie, et al.
Published: (2024)
Risk-sensitive control as inference with Rényi divergence
by: Ito, Kaito, et al.
Published: (2024)
by: Ito, Kaito, et al.
Published: (2024)
What price to pay? Auto-tuning a building MPC controller for optimal economic cost
by: Yu, Jiarui, et al.
Published: (2025)
by: Yu, Jiarui, et al.
Published: (2025)
Discrete fully probabilistic design: towards a control pipeline for the synthesis of policies from examples
by: Ferrentino, Enrico, et al.
Published: (2021)
by: Ferrentino, Enrico, et al.
Published: (2021)
Reliably-stabilizing piecewise-affine neural network controllers
by: Fabiani, Filippo, et al.
Published: (2021)
by: Fabiani, Filippo, et al.
Published: (2021)
From NeurODEs to AutoencODEs: a mean-field control framework for width-varying Neural Networks
by: Cipriani, Cristina, et al.
Published: (2023)
by: Cipriani, Cristina, et al.
Published: (2023)
A minimax optimal control approach for robust neural ODEs
by: Cipriani, Cristina, et al.
Published: (2023)
by: Cipriani, Cristina, et al.
Published: (2023)
Towards safe control parameter tuning in distributed multi-agent systems
by: Tokmak, Abdullah, et al.
Published: (2025)
by: Tokmak, Abdullah, et al.
Published: (2025)
A neural network-based approach to hybrid systems identification for control
by: Fabiani, Filippo, et al.
Published: (2024)
by: Fabiani, Filippo, et al.
Published: (2024)
Safe learning-based control via function-based uncertainty quantification
by: Tokmak, Abdullah, et al.
Published: (2026)
by: Tokmak, Abdullah, et al.
Published: (2026)
Approximate non-linear model predictive control with safety-augmented neural networks
by: Hose, Henrik, et al.
Published: (2023)
by: Hose, Henrik, et al.
Published: (2023)
Linear quadratic control of nonlinear systems with Koopman operator learning and the Nyström method
by: Caldarelli, Edoardo, et al.
Published: (2024)
by: Caldarelli, Edoardo, et al.
Published: (2024)
Efficient model predictive control for nonlinear systems modelled by deep neural networks
by: Lan, Jianglin
Published: (2024)
by: Lan, Jianglin
Published: (2024)
A least-square method for non-asymptotic identification in linear switching control
by: Sun, Haoyuan, et al.
Published: (2024)
by: Sun, Haoyuan, et al.
Published: (2024)
GreenLight-Gym: Reinforcement learning benchmark environment for control of greenhouse production systems
by: van Laatum, Bart, et al.
Published: (2024)
by: van Laatum, Bart, et al.
Published: (2024)
End-to-end guarantees for indirect data-driven control of bilinear systems with finite stochastic data
by: Chatzikiriakos, Nicolas, et al.
Published: (2024)
by: Chatzikiriakos, Nicolas, et al.
Published: (2024)
SafEDMD: A Koopman-based data-driven controller design framework for nonlinear dynamical systems
by: Strässer, Robin, et al.
Published: (2024)
by: Strässer, Robin, et al.
Published: (2024)
Smart energy management: process structure-based hybrid neural networks for optimal scheduling and economic predictive control in integrated systems
by: Wu, Long, et al.
Published: (2024)
by: Wu, Long, et al.
Published: (2024)
A Concise Lyapunov Analysis of Nesterov's Accelerated Gradient Method
by: Liu, Jun
Published: (2025)
by: Liu, Jun
Published: (2025)
Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning
by: Zhang, Chenyu, et al.
Published: (2024)
by: Zhang, Chenyu, et al.
Published: (2024)
An active learning method for solving competitive multi-agent decision-making and control problems
by: Fabiani, Filippo, et al.
Published: (2022)
by: Fabiani, Filippo, et al.
Published: (2022)
Efficient Reachability Analysis for Convolutional Neural Networks Using Hybrid Zonotopes
by: Zhang, Yuhao, et al.
Published: (2025)
by: Zhang, Yuhao, et al.
Published: (2025)
Efficient Interaction-Aware Interval Analysis of Neural Network Feedback Loops
by: Jafarpour, Saber, et al.
Published: (2023)
by: Jafarpour, Saber, et al.
Published: (2023)
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)
Stability and Performance Analysis of Discrete-Time ReLU Recurrent Neural Networks
by: Noori, Sahel Vahedi, et al.
Published: (2024)
by: Noori, Sahel Vahedi, et al.
Published: (2024)
A Simple Finite-Time Analysis of TD Learning with Linear Function Approximation
by: Mitra, Aritra
Published: (2024)
by: Mitra, Aritra
Published: (2024)
Contraction-Guided Adaptive Partitioning for Reachability Analysis of Neural Network Controlled Systems
by: Harapanahalli, Akash, et al.
Published: (2023)
by: Harapanahalli, Akash, et al.
Published: (2023)
Contraction Theory for Nonlinear Stability Analysis and Learning-based Control: A Tutorial Overview
by: Tsukamoto, Hiroyasu, et al.
Published: (2021)
by: Tsukamoto, Hiroyasu, et al.
Published: (2021)
$\texttt{immrax}$: A Parallelizable and Differentiable Toolbox for Interval Analysis and Mixed Monotone Reachability in JAX
by: Harapanahalli, Akash, et al.
Published: (2024)
by: Harapanahalli, Akash, et al.
Published: (2024)
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)
Towards a Systems Theory of Algorithms
by: Dörfler, Florian, et al.
Published: (2024)
by: Dörfler, Florian, et al.
Published: (2024)
A convex variational principle for the necessary conditions of classical optimal control
by: Acharya, Amit, et al.
Published: (2025)
by: Acharya, Amit, et al.
Published: (2025)
Similar Items
-
On the stability of gradient descent with second order dynamics for time-varying cost functions
by: Gibson, Travis E., et al.
Published: (2024) -
Regret Analysis of Policy Optimization over Submanifolds for Linearly Constrained Online LQG
by: Chang, Ting-Jui, et al.
Published: (2024) -
Almost Surely $\sqrt{T}$ Regret for Adaptive LQR
by: Lu, Yiwen, et al.
Published: (2023) -
Learning Decentralized Linear Quadratic Regulators with $\sqrt{T}$ Regret
by: Ye, Lintao, et al.
Published: (2022) -
Achieving Tractable Minimax Optimal Regret in Average Reward MDPs
by: Boone, Victor, et al.
Published: (2024)