ArXiv math.OC Optimization and Control
@optb0t.bsky.social
A sub-optimal ArXiv math.OC bot.
Posts everyday at ~8:00 UTC.
🌐: https://arxiv.org/list/math.OC/new
👨🏻💻: @andrepanno.bsky.social
Posts everyday at ~8:00 UTC.
🌐: https://arxiv.org/list/math.OC/new
👨🏻💻: @andrepanno.bsky.social
🔄 Updated Arxiv Paper
Title: An Information Theory of Finite Abstractions and their Fundamental Scalability Limits
Authors: Giannis Delimpaltadakis, Gabriel Gleizer
Read more: https://arxiv.org/abs/2512.03977
Title: An Information Theory of Finite Abstractions and their Fundamental Scalability Limits
Authors: Giannis Delimpaltadakis, Gabriel Gleizer
Read more: https://arxiv.org/abs/2512.03977
December 5, 2025 at 8:04 AM
🔄 Updated Arxiv Paper
Title: An Information Theory of Finite Abstractions and their Fundamental Scalability Limits
Authors: Giannis Delimpaltadakis, Gabriel Gleizer
Read more: https://arxiv.org/abs/2512.03977
Title: An Information Theory of Finite Abstractions and their Fundamental Scalability Limits
Authors: Giannis Delimpaltadakis, Gabriel Gleizer
Read more: https://arxiv.org/abs/2512.03977
🔄 Updated Arxiv Paper
Title: Algorithms for Boolean Matrix Factorization using Integer Programming and Heuristics
Authors: Christos Kolomvakis, Thomas Bobille, Arnaud Vandaele, Nicolas Gillis
Read more: https://arxiv.org/abs/2512.03807
Title: Algorithms for Boolean Matrix Factorization using Integer Programming and Heuristics
Authors: Christos Kolomvakis, Thomas Bobille, Arnaud Vandaele, Nicolas Gillis
Read more: https://arxiv.org/abs/2512.03807
December 5, 2025 at 8:04 AM
🔄 Updated Arxiv Paper
Title: Algorithms for Boolean Matrix Factorization using Integer Programming and Heuristics
Authors: Christos Kolomvakis, Thomas Bobille, Arnaud Vandaele, Nicolas Gillis
Read more: https://arxiv.org/abs/2512.03807
Title: Algorithms for Boolean Matrix Factorization using Integer Programming and Heuristics
Authors: Christos Kolomvakis, Thomas Bobille, Arnaud Vandaele, Nicolas Gillis
Read more: https://arxiv.org/abs/2512.03807
🔄 Updated Arxiv Paper
Title: N2N: A Parallel Framework for Large-Scale MILP under Distributed Memory
Authors: Longfei Wang, Junyan Liu, Fan Zhang, Jiangwen Wei, Yuanhua Tang, Jie Sun, Xiaodong Luo
Read more: https://arxiv.org/abs/2511.18723
Title: N2N: A Parallel Framework for Large-Scale MILP under Distributed Memory
Authors: Longfei Wang, Junyan Liu, Fan Zhang, Jiangwen Wei, Yuanhua Tang, Jie Sun, Xiaodong Luo
Read more: https://arxiv.org/abs/2511.18723
December 5, 2025 at 8:04 AM
🔄 Updated Arxiv Paper
Title: N2N: A Parallel Framework for Large-Scale MILP under Distributed Memory
Authors: Longfei Wang, Junyan Liu, Fan Zhang, Jiangwen Wei, Yuanhua Tang, Jie Sun, Xiaodong Luo
Read more: https://arxiv.org/abs/2511.18723
Title: N2N: A Parallel Framework for Large-Scale MILP under Distributed Memory
Authors: Longfei Wang, Junyan Liu, Fan Zhang, Jiangwen Wei, Yuanhua Tang, Jie Sun, Xiaodong Luo
Read more: https://arxiv.org/abs/2511.18723
🔄 Updated Arxiv Paper
Title: Bilevel Models for Adversarial Learning and A Case Study
Authors: Yutong Zheng, Qingna Li
Read more: https://arxiv.org/abs/2510.25121
Title: Bilevel Models for Adversarial Learning and A Case Study
Authors: Yutong Zheng, Qingna Li
Read more: https://arxiv.org/abs/2510.25121
December 5, 2025 at 8:04 AM
🔄 Updated Arxiv Paper
Title: Bilevel Models for Adversarial Learning and A Case Study
Authors: Yutong Zheng, Qingna Li
Read more: https://arxiv.org/abs/2510.25121
Title: Bilevel Models for Adversarial Learning and A Case Study
Authors: Yutong Zheng, Qingna Li
Read more: https://arxiv.org/abs/2510.25121
🔄 Updated Arxiv Paper
Title: Convergence of Stochastic Gradient Langevin Dynamics in the Lazy Training Regime
Authors: Noah Oberweis, Semih Cayci
Read more: https://arxiv.org/abs/2510.21245
Title: Convergence of Stochastic Gradient Langevin Dynamics in the Lazy Training Regime
Authors: Noah Oberweis, Semih Cayci
Read more: https://arxiv.org/abs/2510.21245
December 5, 2025 at 8:04 AM
🔄 Updated Arxiv Paper
Title: Convergence of Stochastic Gradient Langevin Dynamics in the Lazy Training Regime
Authors: Noah Oberweis, Semih Cayci
Read more: https://arxiv.org/abs/2510.21245
Title: Convergence of Stochastic Gradient Langevin Dynamics in the Lazy Training Regime
Authors: Noah Oberweis, Semih Cayci
Read more: https://arxiv.org/abs/2510.21245
🔄 Updated Arxiv Paper
Title: Solving Inverse Problems with Deep Linear Neural Networks: Global Convergence Guarantees for Gradient Descent with Weight Decay
Authors: Hannah Laus, Suzanna Parkinson, Vasileios Charisopoulos, Felix Krahmer, Rebecca Willett
Read more: https://arxiv.org/abs/2502.15522
Title: Solving Inverse Problems with Deep Linear Neural Networks: Global Convergence Guarantees for Gradient Descent with Weight Decay
Authors: Hannah Laus, Suzanna Parkinson, Vasileios Charisopoulos, Felix Krahmer, Rebecca Willett
Read more: https://arxiv.org/abs/2502.15522
December 5, 2025 at 8:04 AM
🔄 Updated Arxiv Paper
Title: Solving Inverse Problems with Deep Linear Neural Networks: Global Convergence Guarantees for Gradient Descent with Weight Decay
Authors: Hannah Laus, Suzanna Parkinson, Vasileios Charisopoulos, Felix Krahmer, Rebecca Willett
Read more: https://arxiv.org/abs/2502.15522
Title: Solving Inverse Problems with Deep Linear Neural Networks: Global Convergence Guarantees for Gradient Descent with Weight Decay
Authors: Hannah Laus, Suzanna Parkinson, Vasileios Charisopoulos, Felix Krahmer, Rebecca Willett
Read more: https://arxiv.org/abs/2502.15522
🔄 Updated Arxiv Paper
Title: A Theoretical Framework for Auxiliary-Loss-Free Load Balancing of Sparse Mixture-of-Experts in Large-Scale AI Models
Authors: X. Y. Han, Yuan Zhong
Read more: https://arxiv.org/abs/2512.03915
Title: A Theoretical Framework for Auxiliary-Loss-Free Load Balancing of Sparse Mixture-of-Experts in Large-Scale AI Models
Authors: X. Y. Han, Yuan Zhong
Read more: https://arxiv.org/abs/2512.03915
December 5, 2025 at 8:04 AM
🔄 Updated Arxiv Paper
Title: A Theoretical Framework for Auxiliary-Loss-Free Load Balancing of Sparse Mixture-of-Experts in Large-Scale AI Models
Authors: X. Y. Han, Yuan Zhong
Read more: https://arxiv.org/abs/2512.03915
Title: A Theoretical Framework for Auxiliary-Loss-Free Load Balancing of Sparse Mixture-of-Experts in Large-Scale AI Models
Authors: X. Y. Han, Yuan Zhong
Read more: https://arxiv.org/abs/2512.03915
🔄 Updated Arxiv Paper
Title: An Accelerated Distributed Optimization with Equality and Inequality Coupling Constraints
Authors: Chenyang Qiu, Yangyang Qian, Zongli Lin, Yacov A. Shamash
Read more: https://arxiv.org/abs/2511.19708
Title: An Accelerated Distributed Optimization with Equality and Inequality Coupling Constraints
Authors: Chenyang Qiu, Yangyang Qian, Zongli Lin, Yacov A. Shamash
Read more: https://arxiv.org/abs/2511.19708
December 5, 2025 at 8:04 AM
🔄 Updated Arxiv Paper
Title: An Accelerated Distributed Optimization with Equality and Inequality Coupling Constraints
Authors: Chenyang Qiu, Yangyang Qian, Zongli Lin, Yacov A. Shamash
Read more: https://arxiv.org/abs/2511.19708
Title: An Accelerated Distributed Optimization with Equality and Inequality Coupling Constraints
Authors: Chenyang Qiu, Yangyang Qian, Zongli Lin, Yacov A. Shamash
Read more: https://arxiv.org/abs/2511.19708
🔄 Updated Arxiv Paper
Title: Computational Hardness of Static Distributionally Robust Markov Decision Processes
Authors: Yan Li
Read more: https://arxiv.org/abs/2511.02224
Title: Computational Hardness of Static Distributionally Robust Markov Decision Processes
Authors: Yan Li
Read more: https://arxiv.org/abs/2511.02224
December 5, 2025 at 8:04 AM
🔄 Updated Arxiv Paper
Title: Computational Hardness of Static Distributionally Robust Markov Decision Processes
Authors: Yan Li
Read more: https://arxiv.org/abs/2511.02224
Title: Computational Hardness of Static Distributionally Robust Markov Decision Processes
Authors: Yan Li
Read more: https://arxiv.org/abs/2511.02224
🔄 Updated Arxiv Paper
Title: Quantum Alternating Direction Method of Multipliers for Semidefinite Programming
Authors: Hantao Nie, Dong An, Zaiwen Wen
Read more: https://arxiv.org/abs/2510.10056
Title: Quantum Alternating Direction Method of Multipliers for Semidefinite Programming
Authors: Hantao Nie, Dong An, Zaiwen Wen
Read more: https://arxiv.org/abs/2510.10056
December 5, 2025 at 8:04 AM
🔄 Updated Arxiv Paper
Title: Quantum Alternating Direction Method of Multipliers for Semidefinite Programming
Authors: Hantao Nie, Dong An, Zaiwen Wen
Read more: https://arxiv.org/abs/2510.10056
Title: Quantum Alternating Direction Method of Multipliers for Semidefinite Programming
Authors: Hantao Nie, Dong An, Zaiwen Wen
Read more: https://arxiv.org/abs/2510.10056
🔄 Updated Arxiv Paper
Title: Improved Stochastic Optimization of LogSumExp
Authors: Egor Gladin, Alexey Kroshnin, Jia-Jie Zhu, Pavel Dvurechensky
Read more: https://arxiv.org/abs/2509.24894
Title: Improved Stochastic Optimization of LogSumExp
Authors: Egor Gladin, Alexey Kroshnin, Jia-Jie Zhu, Pavel Dvurechensky
Read more: https://arxiv.org/abs/2509.24894
December 5, 2025 at 8:04 AM
🔄 Updated Arxiv Paper
Title: Improved Stochastic Optimization of LogSumExp
Authors: Egor Gladin, Alexey Kroshnin, Jia-Jie Zhu, Pavel Dvurechensky
Read more: https://arxiv.org/abs/2509.24894
Title: Improved Stochastic Optimization of LogSumExp
Authors: Egor Gladin, Alexey Kroshnin, Jia-Jie Zhu, Pavel Dvurechensky
Read more: https://arxiv.org/abs/2509.24894
🔄 Updated Arxiv Paper
Title: Mean Field Games of Controls with Boundary Conditions & Invariance Constraints
Authors: P. Jameson Graber, Kyle Rosengartner
Read more: https://arxiv.org/abs/2508.21642
Title: Mean Field Games of Controls with Boundary Conditions & Invariance Constraints
Authors: P. Jameson Graber, Kyle Rosengartner
Read more: https://arxiv.org/abs/2508.21642
December 5, 2025 at 8:04 AM
🔄 Updated Arxiv Paper
Title: Mean Field Games of Controls with Boundary Conditions & Invariance Constraints
Authors: P. Jameson Graber, Kyle Rosengartner
Read more: https://arxiv.org/abs/2508.21642
Title: Mean Field Games of Controls with Boundary Conditions & Invariance Constraints
Authors: P. Jameson Graber, Kyle Rosengartner
Read more: https://arxiv.org/abs/2508.21642
🔄 Updated Arxiv Paper
Title: Value Function Approximation for Nonlinear MPC: Learning a Terminal Cost Function with a Descent Property
Authors: T. M. J. T. Baltussen, C. A. Orrico, A. Katriniok, W. P. M. H. Heemels, D. Krishnamoorthy
Read more: https://arxiv.org/abs/2508.05804
Title: Value Function Approximation for Nonlinear MPC: Learning a Terminal Cost Function with a Descent Property
Authors: T. M. J. T. Baltussen, C. A. Orrico, A. Katriniok, W. P. M. H. Heemels, D. Krishnamoorthy
Read more: https://arxiv.org/abs/2508.05804
December 5, 2025 at 8:04 AM
🔄 Updated Arxiv Paper
Title: Value Function Approximation for Nonlinear MPC: Learning a Terminal Cost Function with a Descent Property
Authors: T. M. J. T. Baltussen, C. A. Orrico, A. Katriniok, W. P. M. H. Heemels, D. Krishnamoorthy
Read more: https://arxiv.org/abs/2508.05804
Title: Value Function Approximation for Nonlinear MPC: Learning a Terminal Cost Function with a Descent Property
Authors: T. M. J. T. Baltussen, C. A. Orrico, A. Katriniok, W. P. M. H. Heemels, D. Krishnamoorthy
Read more: https://arxiv.org/abs/2508.05804
🔄 Updated Arxiv Paper
Title: Reinforcement Learning for Discrete-time LQG Mean Field Social Control Problems with Unknown Dynamics
Authors: Hanfang Zhang, Bing-Chang Wang, Shuo Chen
Read more: https://arxiv.org/abs/2507.01420
Title: Reinforcement Learning for Discrete-time LQG Mean Field Social Control Problems with Unknown Dynamics
Authors: Hanfang Zhang, Bing-Chang Wang, Shuo Chen
Read more: https://arxiv.org/abs/2507.01420
December 5, 2025 at 8:04 AM
🔄 Updated Arxiv Paper
Title: Reinforcement Learning for Discrete-time LQG Mean Field Social Control Problems with Unknown Dynamics
Authors: Hanfang Zhang, Bing-Chang Wang, Shuo Chen
Read more: https://arxiv.org/abs/2507.01420
Title: Reinforcement Learning for Discrete-time LQG Mean Field Social Control Problems with Unknown Dynamics
Authors: Hanfang Zhang, Bing-Chang Wang, Shuo Chen
Read more: https://arxiv.org/abs/2507.01420
🔄 Updated Arxiv Paper
Title: Mean Field Game of Optimal Tracking Portfolio
Authors: Lijun Bo, Yijie Huang, Xiang Yu
Read more: https://arxiv.org/abs/2505.01858
Title: Mean Field Game of Optimal Tracking Portfolio
Authors: Lijun Bo, Yijie Huang, Xiang Yu
Read more: https://arxiv.org/abs/2505.01858
December 5, 2025 at 8:04 AM
🔄 Updated Arxiv Paper
Title: Mean Field Game of Optimal Tracking Portfolio
Authors: Lijun Bo, Yijie Huang, Xiang Yu
Read more: https://arxiv.org/abs/2505.01858
Title: Mean Field Game of Optimal Tracking Portfolio
Authors: Lijun Bo, Yijie Huang, Xiang Yu
Read more: https://arxiv.org/abs/2505.01858
🔄 Updated Arxiv Paper
Title: Risk-Aware Adaptive Control Barrier Functions for Safe Control of Nonlinear Systems under Stochastic Uncertainty
Authors: Shuo Liu, Calin A. Belta
Read more: https://arxiv.org/abs/2503.19205
Title: Risk-Aware Adaptive Control Barrier Functions for Safe Control of Nonlinear Systems under Stochastic Uncertainty
Authors: Shuo Liu, Calin A. Belta
Read more: https://arxiv.org/abs/2503.19205
December 5, 2025 at 8:04 AM
🔄 Updated Arxiv Paper
Title: Risk-Aware Adaptive Control Barrier Functions for Safe Control of Nonlinear Systems under Stochastic Uncertainty
Authors: Shuo Liu, Calin A. Belta
Read more: https://arxiv.org/abs/2503.19205
Title: Risk-Aware Adaptive Control Barrier Functions for Safe Control of Nonlinear Systems under Stochastic Uncertainty
Authors: Shuo Liu, Calin A. Belta
Read more: https://arxiv.org/abs/2503.19205
🔄 Updated Arxiv Paper
Title: Well-posedness and stability of boundary delay equations
Authors: Yassine El Gantouh, Yang Liu
Read more: https://arxiv.org/abs/2503.11156
Title: Well-posedness and stability of boundary delay equations
Authors: Yassine El Gantouh, Yang Liu
Read more: https://arxiv.org/abs/2503.11156
December 5, 2025 at 8:04 AM
🔄 Updated Arxiv Paper
Title: Well-posedness and stability of boundary delay equations
Authors: Yassine El Gantouh, Yang Liu
Read more: https://arxiv.org/abs/2503.11156
Title: Well-posedness and stability of boundary delay equations
Authors: Yassine El Gantouh, Yang Liu
Read more: https://arxiv.org/abs/2503.11156
🔄 Updated Arxiv Paper
Title: Convergence Rates of the Regularized Optimal Transport : Disentangling Suboptimality and Entropy
Authors: Hugo Malamut (CEREMADE), Maxime Sylvestre (CEREMADE)
Read more: https://arxiv.org/abs/2306.06940
Title: Convergence Rates of the Regularized Optimal Transport : Disentangling Suboptimality and Entropy
Authors: Hugo Malamut (CEREMADE), Maxime Sylvestre (CEREMADE)
Read more: https://arxiv.org/abs/2306.06940
December 5, 2025 at 8:04 AM
🔄 Updated Arxiv Paper
Title: Convergence Rates of the Regularized Optimal Transport : Disentangling Suboptimality and Entropy
Authors: Hugo Malamut (CEREMADE), Maxime Sylvestre (CEREMADE)
Read more: https://arxiv.org/abs/2306.06940
Title: Convergence Rates of the Regularized Optimal Transport : Disentangling Suboptimality and Entropy
Authors: Hugo Malamut (CEREMADE), Maxime Sylvestre (CEREMADE)
Read more: https://arxiv.org/abs/2306.06940
🔄 Updated Arxiv Paper
Title: The Geometry of Intelligence: Deterministic Functional Topology as a Foundation for Real-World Perception
Authors: Eduardo Di Santi
Read more: https://arxiv.org/abs/2512.05089
Title: The Geometry of Intelligence: Deterministic Functional Topology as a Foundation for Real-World Perception
Authors: Eduardo Di Santi
Read more: https://arxiv.org/abs/2512.05089
December 5, 2025 at 8:04 AM
🔄 Updated Arxiv Paper
Title: The Geometry of Intelligence: Deterministic Functional Topology as a Foundation for Real-World Perception
Authors: Eduardo Di Santi
Read more: https://arxiv.org/abs/2512.05089
Title: The Geometry of Intelligence: Deterministic Functional Topology as a Foundation for Real-World Perception
Authors: Eduardo Di Santi
Read more: https://arxiv.org/abs/2512.05089
🔄 Updated Arxiv Paper
Title: Perceptually-Minimal Color Optimization for Web Accessibility: A Multi-Phase Constrained Approach
Authors: Lalitha A R
Read more: https://arxiv.org/abs/2512.05067
Title: Perceptually-Minimal Color Optimization for Web Accessibility: A Multi-Phase Constrained Approach
Authors: Lalitha A R
Read more: https://arxiv.org/abs/2512.05067
December 5, 2025 at 8:04 AM
🔄 Updated Arxiv Paper
Title: Perceptually-Minimal Color Optimization for Web Accessibility: A Multi-Phase Constrained Approach
Authors: Lalitha A R
Read more: https://arxiv.org/abs/2512.05067
Title: Perceptually-Minimal Color Optimization for Web Accessibility: A Multi-Phase Constrained Approach
Authors: Lalitha A R
Read more: https://arxiv.org/abs/2512.05067
🔄 Updated Arxiv Paper
Title: A tangential low-rank ADI method for solving indefinite Lyapunov equations
Authors: Rudi Smith, Steffen W. R. Werner
Read more: https://arxiv.org/abs/2512.04983
Title: A tangential low-rank ADI method for solving indefinite Lyapunov equations
Authors: Rudi Smith, Steffen W. R. Werner
Read more: https://arxiv.org/abs/2512.04983
December 5, 2025 at 8:04 AM
🔄 Updated Arxiv Paper
Title: A tangential low-rank ADI method for solving indefinite Lyapunov equations
Authors: Rudi Smith, Steffen W. R. Werner
Read more: https://arxiv.org/abs/2512.04983
Title: A tangential low-rank ADI method for solving indefinite Lyapunov equations
Authors: Rudi Smith, Steffen W. R. Werner
Read more: https://arxiv.org/abs/2512.04983
🔄 Updated Arxiv Paper
Title: Quantitative rigidity of the Wasserstein contraction under convolution
Authors: Max Fathi, Michael Goldman, Daniel Tsodyks
Read more: https://arxiv.org/abs/2512.04928
Title: Quantitative rigidity of the Wasserstein contraction under convolution
Authors: Max Fathi, Michael Goldman, Daniel Tsodyks
Read more: https://arxiv.org/abs/2512.04928
December 5, 2025 at 8:04 AM
🔄 Updated Arxiv Paper
Title: Quantitative rigidity of the Wasserstein contraction under convolution
Authors: Max Fathi, Michael Goldman, Daniel Tsodyks
Read more: https://arxiv.org/abs/2512.04928
Title: Quantitative rigidity of the Wasserstein contraction under convolution
Authors: Max Fathi, Michael Goldman, Daniel Tsodyks
Read more: https://arxiv.org/abs/2512.04928
🔄 Updated Arxiv Paper
Title: Side-by-side first-price auctions with imperfect bidders
Authors: Benjamin Heymann
Read more: https://arxiv.org/abs/2512.04850
Title: Side-by-side first-price auctions with imperfect bidders
Authors: Benjamin Heymann
Read more: https://arxiv.org/abs/2512.04850
December 5, 2025 at 8:04 AM
🔄 Updated Arxiv Paper
Title: Side-by-side first-price auctions with imperfect bidders
Authors: Benjamin Heymann
Read more: https://arxiv.org/abs/2512.04850
Title: Side-by-side first-price auctions with imperfect bidders
Authors: Benjamin Heymann
Read more: https://arxiv.org/abs/2512.04850
🔄 Updated Arxiv Paper
Title: Optimal cost for the null controllability of the Stokes system with controls having $n-1$ components and applications
Authors: Felipe W. Chaves-Silva, Diego A. Souza, Marcos G. Ferreira-Silva
Read more: https://arxiv.org/abs/2512.04721
Title: Optimal cost for the null controllability of the Stokes system with controls having $n-1$ components and applications
Authors: Felipe W. Chaves-Silva, Diego A. Souza, Marcos G. Ferreira-Silva
Read more: https://arxiv.org/abs/2512.04721
December 5, 2025 at 8:04 AM
🔄 Updated Arxiv Paper
Title: Optimal cost for the null controllability of the Stokes system with controls having $n-1$ components and applications
Authors: Felipe W. Chaves-Silva, Diego A. Souza, Marcos G. Ferreira-Silva
Read more: https://arxiv.org/abs/2512.04721
Title: Optimal cost for the null controllability of the Stokes system with controls having $n-1$ components and applications
Authors: Felipe W. Chaves-Silva, Diego A. Souza, Marcos G. Ferreira-Silva
Read more: https://arxiv.org/abs/2512.04721
🔄 Updated Arxiv Paper
Title: Adapt and Stabilize, Then Learn and Optimize: A New Approach to Adaptive LQR
Authors: Peter A. Fisher, Anuradha M. Annaswamy
Read more: https://arxiv.org/abs/2512.04565
Title: Adapt and Stabilize, Then Learn and Optimize: A New Approach to Adaptive LQR
Authors: Peter A. Fisher, Anuradha M. Annaswamy
Read more: https://arxiv.org/abs/2512.04565
December 5, 2025 at 8:04 AM
🔄 Updated Arxiv Paper
Title: Adapt and Stabilize, Then Learn and Optimize: A New Approach to Adaptive LQR
Authors: Peter A. Fisher, Anuradha M. Annaswamy
Read more: https://arxiv.org/abs/2512.04565
Title: Adapt and Stabilize, Then Learn and Optimize: A New Approach to Adaptive LQR
Authors: Peter A. Fisher, Anuradha M. Annaswamy
Read more: https://arxiv.org/abs/2512.04565