Control and Reinforcement Learning through the Lens of Optimization: An Algorithmic Perspective
Fuente:
arXiv
Saved in:
| Main Authors: | Ok, Tolga, Kolarijani, Arman Sharifi, Kolarijani, Mohamad Amin Sharif, Esfahani, Peyman Mohajerin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Rank-One Modified Value Iteration
by: Kolarijani, Arman Sharifi, et al.
Published: (2025)
by: Kolarijani, Arman Sharifi, et al.
Published: (2025)
From Optimization to Control: Quasi Policy Iteration
by: Kolarijani, Mohammad Amin Sharifi, et al.
Published: (2023)
by: Kolarijani, Mohammad Amin Sharifi, et al.
Published: (2023)
Offline Reinforcement Learning via Inverse Optimization
by: Dimanidis, Ioannis, et al.
Published: (2025)
by: Dimanidis, Ioannis, et al.
Published: (2025)
Scalable Kernel Inverse Optimization
by: Long, Youyuan, et al.
Published: (2024)
by: Long, Youyuan, et al.
Published: (2024)
Distributionally Robust Model Predictive Control: Closed-loop Guarantees and Scalable Algorithms
by: McAllister, Robert D., et al.
Published: (2023)
by: McAllister, Robert D., et al.
Published: (2023)
Variance-Reduced Cascade Q-learning: Algorithms and Sample Complexity
by: Boveiri, Mohammad, et al.
Published: (2024)
by: Boveiri, Mohammad, et al.
Published: (2024)
Inverse Optimization via Learning Feasible Regions
by: Ren, Ke, et al.
Published: (2025)
by: Ren, Ke, et al.
Published: (2025)
Learning in Inverse Optimization: Incenter Cost, Augmented Suboptimality Loss, and Algorithms
by: Scroccaro, Pedro Zattoni, et al.
Published: (2023)
by: Scroccaro, Pedro Zattoni, et al.
Published: (2023)
Fitted Q-Iteration via Max-Plus-Linear Approximation
by: Liu, Y., et al.
Published: (2024)
by: Liu, Y., et al.
Published: (2024)
Nonlinear Distributionally Robust Optimization
by: Sheriff, Mohammed Rayyan, et al.
Published: (2023)
by: Sheriff, Mohammed Rayyan, et al.
Published: (2023)
A Hybrid Algorithm for Monotone Variational Inequalities
by: Baghbadorani, Reza Rahimi, et al.
Published: (2026)
by: Baghbadorani, Reza Rahimi, et al.
Published: (2026)
A Frank-Wolfe Algorithm for Strongly Monotone Variational Inequalities
by: Baghbadorani, Reza Rahimi, et al.
Published: (2025)
by: Baghbadorani, Reza Rahimi, et al.
Published: (2025)
Locally Linear Convergence for Nonsmooth Convex Optimization via Coupled Smoothing and Momentum
by: Baghbadorani, Reza Rahimi, et al.
Published: (2025)
by: Baghbadorani, Reza Rahimi, et al.
Published: (2025)
Accelerating Adaptive Systems via Normalized Parameter Estimation Laws
by: Boveiri, Mohammad, et al.
Published: (2025)
by: Boveiri, Mohammad, et al.
Published: (2025)
Fast Algorithm for Constrained Linear Inverse Problems
by: Sheriff, Mohammed Rayyan, et al.
Published: (2022)
by: Sheriff, Mohammed Rayyan, et al.
Published: (2022)
A New Lineserach for Accelerated Composite Minimization
by: Baghbadorani, Reza Rahimi, et al.
Published: (2024)
by: Baghbadorani, Reza Rahimi, et al.
Published: (2024)
A Saddle Point Algorithm for Robust Data-Driven Factor Model Problems
by: Khodakaramzadeh, Shabnam, et al.
Published: (2025)
by: Khodakaramzadeh, Shabnam, et al.
Published: (2025)
Tight Generalization Bounds for Noiseless Inverse Optimization
by: Fatemi, Pouria, et al.
Published: (2026)
by: Fatemi, Pouria, et al.
Published: (2026)
Optimal Transportation by Orthogonal Coupling Dynamics
by: Sadr, Mohsen, et al.
Published: (2024)
by: Sadr, Mohsen, et al.
Published: (2024)
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning
by: Kuhn, Daniel, et al.
Published: (2019)
by: Kuhn, Daniel, et al.
Published: (2019)
Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance
by: Figueiredo, Eduardo, et al.
Published: (2025)
by: Figueiredo, Eduardo, et al.
Published: (2025)
Robust Multivariate Detection and Estimation with Fault Frequency Content Information
by: Dong, Jingwei, et al.
Published: (2023)
by: Dong, Jingwei, et al.
Published: (2023)
Inverse Optimization for Routing Problems
by: Scroccaro, Pedro Zattoni, et al.
Published: (2023)
by: Scroccaro, Pedro Zattoni, et al.
Published: (2023)
Intersection of Reinforcement Learning and Bayesian Optimization for Intelligent Control of Industrial Processes: A Safe MPC-based DPG using Multi-Objective BO
by: Esfahani, Hossein Nejatbakhsh, et al.
Published: (2025)
by: Esfahani, Hossein Nejatbakhsh, et al.
Published: (2025)
Perspectives on Contractivity in Control, Optimization, and Learning
by: Davydov, Alexander, et al.
Published: (2024)
by: Davydov, Alexander, et al.
Published: (2024)
Whale Optimization Algorithms based fractional order fuzzy PID controller for Depth of Anesthesia
by: Behboudifar, Amin, et al.
Published: (2025)
by: Behboudifar, Amin, et al.
Published: (2025)
Optimal Bayesian Affine Estimator and Active Learning for the Wiener Model
by: Vakili, Sasan, et al.
Published: (2025)
by: Vakili, Sasan, et al.
Published: (2025)
Enhancing kidney transplantation through multi-agent kidney exchange programs: A comprehensive review and optimization models
by: Sharifi, Shayan
Published: (2025)
by: Sharifi, Shayan
Published: (2025)
Generalized Model Predictive Path Integral Control as Expectation--Maximization
by: Wang, Jiarui, et al.
Published: (2026)
by: Wang, Jiarui, et al.
Published: (2026)
Model Predictive Path Integral Control as Preconditioned Gradient Descent
by: Fazlyab, Mahyar, et al.
Published: (2026)
by: Fazlyab, Mahyar, et al.
Published: (2026)
Adaptive Control with Set-Point Tracking and Linear-like Closed-loop Behavior
by: Shahab, Mohamad T.
Published: (2025)
by: Shahab, Mohamad T.
Published: (2025)
Optimization Algorithms as Robust Feedback Controllers
by: Hauswirth, Adrian, et al.
Published: (2021)
by: Hauswirth, Adrian, et al.
Published: (2021)
An Optimization Perspective on the Monotonicity of the Multiplicative Algorithm for Optimal Experimental Design
by: Zhao, Renbo
Published: (2025)
by: Zhao, Renbo
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)
Convergence of Multi-Scale Reinforcement Q-Learning Algorithms for Mean Field Game and Control Problems
by: Angiuli, Andrea, et al.
Published: (2023)
by: Angiuli, Andrea, et al.
Published: (2023)
Global Optimization Algorithm through High-Resolution Sampling
by: Cortild, Daniel, et al.
Published: (2024)
by: Cortild, Daniel, et al.
Published: (2024)
An Optimal Control Interpretation of Augmented Distributed Optimization Algorithms
by: Hallinan, Liam, et al.
Published: (2025)
by: Hallinan, Liam, et al.
Published: (2025)
Data-Driven Fault Isolation in Linear Time-Invariant Systems: A Subspace Classification Approach
by: Sheikhi, Mohammad Amin, et al.
Published: (2025)
by: Sheikhi, Mohammad Amin, et al.
Published: (2025)
Adjoint Matching through the Lens of the Stochastic Maximum Principle in Optimal Control
by: Domingo-Enrich, Carles, et al.
Published: (2026)
by: Domingo-Enrich, Carles, et al.
Published: (2026)
Perturbed Gradient Descent via Convex Quadratic Approximation for Nonconvex Bilevel Optimization
by: Abolfazli, Nazanin, et al.
Published: (2025)
by: Abolfazli, Nazanin, et al.
Published: (2025)
Similar Items
-
Rank-One Modified Value Iteration
by: Kolarijani, Arman Sharifi, et al.
Published: (2025) -
From Optimization to Control: Quasi Policy Iteration
by: Kolarijani, Mohammad Amin Sharifi, et al.
Published: (2023) -
Offline Reinforcement Learning via Inverse Optimization
by: Dimanidis, Ioannis, et al.
Published: (2025) -
Scalable Kernel Inverse Optimization
by: Long, Youyuan, et al.
Published: (2024) -
Distributionally Robust Model Predictive Control: Closed-loop Guarantees and Scalable Algorithms
by: McAllister, Robert D., et al.
Published: (2023)