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: A Regularized Actor-Critic Algorithm for Bi-Level Reinforcement Learning
Authors: Sihan Zeng, Sujay Bhatt, Sumitra Ganesh, Alec Koppel
Read more: https://arxiv.org/abs/2601.16399
Title: A Regularized Actor-Critic Algorithm for Bi-Level Reinforcement Learning
Authors: Sihan Zeng, Sujay Bhatt, Sumitra Ganesh, Alec Koppel
Read more: https://arxiv.org/abs/2601.16399
January 27, 2026 at 8:02 AM
🔄 Updated Arxiv Paper
Title: A Regularized Actor-Critic Algorithm for Bi-Level Reinforcement Learning
Authors: Sihan Zeng, Sujay Bhatt, Sumitra Ganesh, Alec Koppel
Read more: https://arxiv.org/abs/2601.16399
Title: A Regularized Actor-Critic Algorithm for Bi-Level Reinforcement Learning
Authors: Sihan Zeng, Sujay Bhatt, Sumitra Ganesh, Alec Koppel
Read more: https://arxiv.org/abs/2601.16399
🔄 Updated Arxiv Paper
Title: CLASP: An online learning algorithm for Convex Losses And Squared Penalties
Authors: Ricardo N. Ferreira, Jo\~ao Xavier, Cl\'audia Soares
Read more: https://arxiv.org/abs/2601.16072
Title: CLASP: An online learning algorithm for Convex Losses And Squared Penalties
Authors: Ricardo N. Ferreira, Jo\~ao Xavier, Cl\'audia Soares
Read more: https://arxiv.org/abs/2601.16072
January 27, 2026 at 8:02 AM
🔄 Updated Arxiv Paper
Title: CLASP: An online learning algorithm for Convex Losses And Squared Penalties
Authors: Ricardo N. Ferreira, Jo\~ao Xavier, Cl\'audia Soares
Read more: https://arxiv.org/abs/2601.16072
Title: CLASP: An online learning algorithm for Convex Losses And Squared Penalties
Authors: Ricardo N. Ferreira, Jo\~ao Xavier, Cl\'audia Soares
Read more: https://arxiv.org/abs/2601.16072
🔄 Updated Arxiv Paper
Title: A uniformity principle for spatial matching
Authors: Taha Ameen, Flore Sentenac, Sophie H. Yu
Read more: https://arxiv.org/abs/2601.13426
Title: A uniformity principle for spatial matching
Authors: Taha Ameen, Flore Sentenac, Sophie H. Yu
Read more: https://arxiv.org/abs/2601.13426
January 27, 2026 at 8:02 AM
🔄 Updated Arxiv Paper
Title: A uniformity principle for spatial matching
Authors: Taha Ameen, Flore Sentenac, Sophie H. Yu
Read more: https://arxiv.org/abs/2601.13426
Title: A uniformity principle for spatial matching
Authors: Taha Ameen, Flore Sentenac, Sophie H. Yu
Read more: https://arxiv.org/abs/2601.13426
🔄 Updated Arxiv Paper
Title: Tail Distribution of Regret in Optimistic Reinforcement Learning
Authors: Sajad Khodadadian, Mehrdad Moharrami
Read more: https://arxiv.org/abs/2511.18247
Title: Tail Distribution of Regret in Optimistic Reinforcement Learning
Authors: Sajad Khodadadian, Mehrdad Moharrami
Read more: https://arxiv.org/abs/2511.18247
January 27, 2026 at 8:02 AM
🔄 Updated Arxiv Paper
Title: Tail Distribution of Regret in Optimistic Reinforcement Learning
Authors: Sajad Khodadadian, Mehrdad Moharrami
Read more: https://arxiv.org/abs/2511.18247
Title: Tail Distribution of Regret in Optimistic Reinforcement Learning
Authors: Sajad Khodadadian, Mehrdad Moharrami
Read more: https://arxiv.org/abs/2511.18247
🔄 Updated Arxiv Paper
Title: Robust Reinforcement Learning in Finance: Modeling Market Impact with Elliptic Uncertainty Sets
Authors: Shaocong Ma, Heng Huang
Read more: https://arxiv.org/abs/2510.19950
Title: Robust Reinforcement Learning in Finance: Modeling Market Impact with Elliptic Uncertainty Sets
Authors: Shaocong Ma, Heng Huang
Read more: https://arxiv.org/abs/2510.19950
January 27, 2026 at 8:02 AM
🔄 Updated Arxiv Paper
Title: Robust Reinforcement Learning in Finance: Modeling Market Impact with Elliptic Uncertainty Sets
Authors: Shaocong Ma, Heng Huang
Read more: https://arxiv.org/abs/2510.19950
Title: Robust Reinforcement Learning in Finance: Modeling Market Impact with Elliptic Uncertainty Sets
Authors: Shaocong Ma, Heng Huang
Read more: https://arxiv.org/abs/2510.19950
🔄 Updated Arxiv Paper
Title: Network-Optimised Spiking Neural Network for Event-Driven Networking
Authors: Muhammad Bilal
Read more: https://arxiv.org/abs/2509.23516
Title: Network-Optimised Spiking Neural Network for Event-Driven Networking
Authors: Muhammad Bilal
Read more: https://arxiv.org/abs/2509.23516
January 27, 2026 at 8:02 AM
🔄 Updated Arxiv Paper
Title: Network-Optimised Spiking Neural Network for Event-Driven Networking
Authors: Muhammad Bilal
Read more: https://arxiv.org/abs/2509.23516
Title: Network-Optimised Spiking Neural Network for Event-Driven Networking
Authors: Muhammad Bilal
Read more: https://arxiv.org/abs/2509.23516
🔄 Updated Arxiv Paper
Title: Dual Optimistic Ascent (PI Control) is the Augmented Lagrangian Method in Disguise
Authors: Juan Ramirez, Simon Lacoste-Julien
Read more: https://arxiv.org/abs/2509.22500
Title: Dual Optimistic Ascent (PI Control) is the Augmented Lagrangian Method in Disguise
Authors: Juan Ramirez, Simon Lacoste-Julien
Read more: https://arxiv.org/abs/2509.22500
January 27, 2026 at 8:02 AM
🔄 Updated Arxiv Paper
Title: Dual Optimistic Ascent (PI Control) is the Augmented Lagrangian Method in Disguise
Authors: Juan Ramirez, Simon Lacoste-Julien
Read more: https://arxiv.org/abs/2509.22500
Title: Dual Optimistic Ascent (PI Control) is the Augmented Lagrangian Method in Disguise
Authors: Juan Ramirez, Simon Lacoste-Julien
Read more: https://arxiv.org/abs/2509.22500
🔄 Updated Arxiv Paper
Title: When and How Unlabeled Data Provably Improve In-Context Learning
Authors: Yingcong Li, Xiangyu Chang, Muti Kara, Xiaofeng Liu, Amit Roy-Chowdhury, Samet Oymak
Read more: https://arxiv.org/abs/2506.15329
Title: When and How Unlabeled Data Provably Improve In-Context Learning
Authors: Yingcong Li, Xiangyu Chang, Muti Kara, Xiaofeng Liu, Amit Roy-Chowdhury, Samet Oymak
Read more: https://arxiv.org/abs/2506.15329
January 27, 2026 at 8:02 AM
🔄 Updated Arxiv Paper
Title: When and How Unlabeled Data Provably Improve In-Context Learning
Authors: Yingcong Li, Xiangyu Chang, Muti Kara, Xiaofeng Liu, Amit Roy-Chowdhury, Samet Oymak
Read more: https://arxiv.org/abs/2506.15329
Title: When and How Unlabeled Data Provably Improve In-Context Learning
Authors: Yingcong Li, Xiangyu Chang, Muti Kara, Xiaofeng Liu, Amit Roy-Chowdhury, Samet Oymak
Read more: https://arxiv.org/abs/2506.15329
🔄 Updated Arxiv Paper
Title: Backpressure-based Mean-field Type Game for Scheduling in Multi-Hop Wireless Sensor Networks
Authors: Salah Eddine Choutri, Boualem Djehiche, Prajwal Chauhan, Saif Eddin Jabari
Read more: https://arxiv.org/abs/2506.03059
Title: Backpressure-based Mean-field Type Game for Scheduling in Multi-Hop Wireless Sensor Networks
Authors: Salah Eddine Choutri, Boualem Djehiche, Prajwal Chauhan, Saif Eddin Jabari
Read more: https://arxiv.org/abs/2506.03059
January 27, 2026 at 8:02 AM
🔄 Updated Arxiv Paper
Title: Backpressure-based Mean-field Type Game for Scheduling in Multi-Hop Wireless Sensor Networks
Authors: Salah Eddine Choutri, Boualem Djehiche, Prajwal Chauhan, Saif Eddin Jabari
Read more: https://arxiv.org/abs/2506.03059
Title: Backpressure-based Mean-field Type Game for Scheduling in Multi-Hop Wireless Sensor Networks
Authors: Salah Eddine Choutri, Boualem Djehiche, Prajwal Chauhan, Saif Eddin Jabari
Read more: https://arxiv.org/abs/2506.03059
🔄 Updated Arxiv Paper
Title: Architecture independent generalization bounds for overparametrized deep ReLU networks
Authors: Anandatheertha Bapu, Thomas Chen, Chun-Kai Kevin Chien, Patricia Mu\~noz Ewald, Andrew G. Moore
Read more: https://arxiv.org/abs/2504.05695
Title: Architecture independent generalization bounds for overparametrized deep ReLU networks
Authors: Anandatheertha Bapu, Thomas Chen, Chun-Kai Kevin Chien, Patricia Mu\~noz Ewald, Andrew G. Moore
Read more: https://arxiv.org/abs/2504.05695
January 27, 2026 at 8:02 AM
🔄 Updated Arxiv Paper
Title: Architecture independent generalization bounds for overparametrized deep ReLU networks
Authors: Anandatheertha Bapu, Thomas Chen, Chun-Kai Kevin Chien, Patricia Mu\~noz Ewald, Andrew G. Moore
Read more: https://arxiv.org/abs/2504.05695
Title: Architecture independent generalization bounds for overparametrized deep ReLU networks
Authors: Anandatheertha Bapu, Thomas Chen, Chun-Kai Kevin Chien, Patricia Mu\~noz Ewald, Andrew G. Moore
Read more: https://arxiv.org/abs/2504.05695
🔄 Updated Arxiv Paper
Title: An extrapolated and provably convergent algorithm for nonlinear matrix decomposition with the ReLU function
Authors: Nicolas Gillis, Margherita Porcelli, Giovanni Seraghiti
Read more: https://arxiv.org/abs/2503.23832
Title: An extrapolated and provably convergent algorithm for nonlinear matrix decomposition with the ReLU function
Authors: Nicolas Gillis, Margherita Porcelli, Giovanni Seraghiti
Read more: https://arxiv.org/abs/2503.23832
January 27, 2026 at 8:02 AM
🔄 Updated Arxiv Paper
Title: An extrapolated and provably convergent algorithm for nonlinear matrix decomposition with the ReLU function
Authors: Nicolas Gillis, Margherita Porcelli, Giovanni Seraghiti
Read more: https://arxiv.org/abs/2503.23832
Title: An extrapolated and provably convergent algorithm for nonlinear matrix decomposition with the ReLU function
Authors: Nicolas Gillis, Margherita Porcelli, Giovanni Seraghiti
Read more: https://arxiv.org/abs/2503.23832
🔄 Updated Arxiv Paper
Title: Shape optimization for piecewise parameter identification in inverse diffusion problems with a single boundary measurement
Authors: Manabu Machida, Hirofumi Notsu, Julius Fergy Tiongson Rabago
Read more: https://arxiv.org/abs/2503.14764
Title: Shape optimization for piecewise parameter identification in inverse diffusion problems with a single boundary measurement
Authors: Manabu Machida, Hirofumi Notsu, Julius Fergy Tiongson Rabago
Read more: https://arxiv.org/abs/2503.14764
January 27, 2026 at 8:02 AM
🔄 Updated Arxiv Paper
Title: Shape optimization for piecewise parameter identification in inverse diffusion problems with a single boundary measurement
Authors: Manabu Machida, Hirofumi Notsu, Julius Fergy Tiongson Rabago
Read more: https://arxiv.org/abs/2503.14764
Title: Shape optimization for piecewise parameter identification in inverse diffusion problems with a single boundary measurement
Authors: Manabu Machida, Hirofumi Notsu, Julius Fergy Tiongson Rabago
Read more: https://arxiv.org/abs/2503.14764
🔄 Updated Arxiv Paper
Title: Error analysis for stochastic gradient optimization schemes using modified equations
Authors: Charles-Edouard Br\'ehier, Marc Dambrine, Nassim En-Nebbazi
Read more: https://arxiv.org/abs/2411.05538
Title: Error analysis for stochastic gradient optimization schemes using modified equations
Authors: Charles-Edouard Br\'ehier, Marc Dambrine, Nassim En-Nebbazi
Read more: https://arxiv.org/abs/2411.05538
January 27, 2026 at 8:02 AM
🔄 Updated Arxiv Paper
Title: Error analysis for stochastic gradient optimization schemes using modified equations
Authors: Charles-Edouard Br\'ehier, Marc Dambrine, Nassim En-Nebbazi
Read more: https://arxiv.org/abs/2411.05538
Title: Error analysis for stochastic gradient optimization schemes using modified equations
Authors: Charles-Edouard Br\'ehier, Marc Dambrine, Nassim En-Nebbazi
Read more: https://arxiv.org/abs/2411.05538
🔄 Updated Arxiv Paper
Title: NPA Hierarchy for Quantum Isomorphism and Homomorphism Indistinguishability
Authors: Prem Nigam Kar, David E. Roberson, Tim Seppelt, Peter Zeman
Read more: https://arxiv.org/abs/2407.10635
Title: NPA Hierarchy for Quantum Isomorphism and Homomorphism Indistinguishability
Authors: Prem Nigam Kar, David E. Roberson, Tim Seppelt, Peter Zeman
Read more: https://arxiv.org/abs/2407.10635
January 27, 2026 at 8:02 AM
🔄 Updated Arxiv Paper
Title: NPA Hierarchy for Quantum Isomorphism and Homomorphism Indistinguishability
Authors: Prem Nigam Kar, David E. Roberson, Tim Seppelt, Peter Zeman
Read more: https://arxiv.org/abs/2407.10635
Title: NPA Hierarchy for Quantum Isomorphism and Homomorphism Indistinguishability
Authors: Prem Nigam Kar, David E. Roberson, Tim Seppelt, Peter Zeman
Read more: https://arxiv.org/abs/2407.10635
🔄 Updated Arxiv Paper
Title: Simulation-Optimization Approaches for the Network Immunization Problem with Quarantining
Authors: Rowan Hoogervorst, Evelien van der Hurk, David Pisinger
Read more: https://arxiv.org/abs/2406.15814
Title: Simulation-Optimization Approaches for the Network Immunization Problem with Quarantining
Authors: Rowan Hoogervorst, Evelien van der Hurk, David Pisinger
Read more: https://arxiv.org/abs/2406.15814
January 27, 2026 at 8:02 AM
🔄 Updated Arxiv Paper
Title: Simulation-Optimization Approaches for the Network Immunization Problem with Quarantining
Authors: Rowan Hoogervorst, Evelien van der Hurk, David Pisinger
Read more: https://arxiv.org/abs/2406.15814
Title: Simulation-Optimization Approaches for the Network Immunization Problem with Quarantining
Authors: Rowan Hoogervorst, Evelien van der Hurk, David Pisinger
Read more: https://arxiv.org/abs/2406.15814
🔄 Updated Arxiv Paper
Title: Robustness of the Frank-Wolfe Method under Inexact Oracles and the Cost of Linear Minimization
Authors: Tao Hu
Read more: https://arxiv.org/abs/2601.11548
Title: Robustness of the Frank-Wolfe Method under Inexact Oracles and the Cost of Linear Minimization
Authors: Tao Hu
Read more: https://arxiv.org/abs/2601.11548
January 27, 2026 at 8:02 AM
🔄 Updated Arxiv Paper
Title: Robustness of the Frank-Wolfe Method under Inexact Oracles and the Cost of Linear Minimization
Authors: Tao Hu
Read more: https://arxiv.org/abs/2601.11548
Title: Robustness of the Frank-Wolfe Method under Inexact Oracles and the Cost of Linear Minimization
Authors: Tao Hu
Read more: https://arxiv.org/abs/2601.11548
🔄 Updated Arxiv Paper
Title: Extragradient methods with complexity guarantees for hierarchical variational inequalities
Authors: Pavel Dvurechensky, Meggie Marschner, Shimrit Shtern, Mathias Staudigl
Read more: https://arxiv.org/abs/2512.20791
Title: Extragradient methods with complexity guarantees for hierarchical variational inequalities
Authors: Pavel Dvurechensky, Meggie Marschner, Shimrit Shtern, Mathias Staudigl
Read more: https://arxiv.org/abs/2512.20791
January 27, 2026 at 8:02 AM
🔄 Updated Arxiv Paper
Title: Extragradient methods with complexity guarantees for hierarchical variational inequalities
Authors: Pavel Dvurechensky, Meggie Marschner, Shimrit Shtern, Mathias Staudigl
Read more: https://arxiv.org/abs/2512.20791
Title: Extragradient methods with complexity guarantees for hierarchical variational inequalities
Authors: Pavel Dvurechensky, Meggie Marschner, Shimrit Shtern, Mathias Staudigl
Read more: https://arxiv.org/abs/2512.20791
🔄 Updated Arxiv Paper
Title: A Smooth Approximation Framework for Weakly Convex Optimization
Authors: Qi Deng, Wenzhi Gao
Read more: https://arxiv.org/abs/2512.09720
Title: A Smooth Approximation Framework for Weakly Convex Optimization
Authors: Qi Deng, Wenzhi Gao
Read more: https://arxiv.org/abs/2512.09720
January 27, 2026 at 8:02 AM
🔄 Updated Arxiv Paper
Title: A Smooth Approximation Framework for Weakly Convex Optimization
Authors: Qi Deng, Wenzhi Gao
Read more: https://arxiv.org/abs/2512.09720
Title: A Smooth Approximation Framework for Weakly Convex Optimization
Authors: Qi Deng, Wenzhi Gao
Read more: https://arxiv.org/abs/2512.09720
🔄 Updated Arxiv Paper
Title: A Unified Phase-Field Fourier Neural Network Framework for Topology Optimization
Authors: Jing Li, Xindi Hu, Helin Gong, Wei Gong, Shengfeng Zhu
Read more: https://arxiv.org/abs/2511.14623
Title: A Unified Phase-Field Fourier Neural Network Framework for Topology Optimization
Authors: Jing Li, Xindi Hu, Helin Gong, Wei Gong, Shengfeng Zhu
Read more: https://arxiv.org/abs/2511.14623
January 27, 2026 at 8:02 AM
🔄 Updated Arxiv Paper
Title: A Unified Phase-Field Fourier Neural Network Framework for Topology Optimization
Authors: Jing Li, Xindi Hu, Helin Gong, Wei Gong, Shengfeng Zhu
Read more: https://arxiv.org/abs/2511.14623
Title: A Unified Phase-Field Fourier Neural Network Framework for Topology Optimization
Authors: Jing Li, Xindi Hu, Helin Gong, Wei Gong, Shengfeng Zhu
Read more: https://arxiv.org/abs/2511.14623
🔄 Updated Arxiv Paper
Title: Model-free source seeking of exponentially convergent unicycle: theoretical and robotic experimental results
Authors: Rohan Palanikumar, Ahmed A. Elgohary, Victoria Grushkovskaya, Sameh A. Eisa
Read more: https://arxiv.org/abs/2511.00752
Title: Model-free source seeking of exponentially convergent unicycle: theoretical and robotic experimental results
Authors: Rohan Palanikumar, Ahmed A. Elgohary, Victoria Grushkovskaya, Sameh A. Eisa
Read more: https://arxiv.org/abs/2511.00752
January 27, 2026 at 8:02 AM
🔄 Updated Arxiv Paper
Title: Model-free source seeking of exponentially convergent unicycle: theoretical and robotic experimental results
Authors: Rohan Palanikumar, Ahmed A. Elgohary, Victoria Grushkovskaya, Sameh A. Eisa
Read more: https://arxiv.org/abs/2511.00752
Title: Model-free source seeking of exponentially convergent unicycle: theoretical and robotic experimental results
Authors: Rohan Palanikumar, Ahmed A. Elgohary, Victoria Grushkovskaya, Sameh A. Eisa
Read more: https://arxiv.org/abs/2511.00752
🔄 Updated Arxiv Paper
Title: A generalized canonical metric for optimization on the indefinite Stiefel manifold
Authors: Dinh Van Tiep, Duong Thi Viet An, Nguyen Thi Ngoc Oanh, Nguyen Thanh Son
Read more: https://arxiv.org/abs/2509.16113
Title: A generalized canonical metric for optimization on the indefinite Stiefel manifold
Authors: Dinh Van Tiep, Duong Thi Viet An, Nguyen Thi Ngoc Oanh, Nguyen Thanh Son
Read more: https://arxiv.org/abs/2509.16113
January 27, 2026 at 8:02 AM
🔄 Updated Arxiv Paper
Title: A generalized canonical metric for optimization on the indefinite Stiefel manifold
Authors: Dinh Van Tiep, Duong Thi Viet An, Nguyen Thi Ngoc Oanh, Nguyen Thanh Son
Read more: https://arxiv.org/abs/2509.16113
Title: A generalized canonical metric for optimization on the indefinite Stiefel manifold
Authors: Dinh Van Tiep, Duong Thi Viet An, Nguyen Thi Ngoc Oanh, Nguyen Thanh Son
Read more: https://arxiv.org/abs/2509.16113
🔄 Updated Arxiv Paper
Title: Research on Optimal Control Problem Based on Reinforcement Learning under Knightian Uncertainty
Authors: Ziyu Li, Chen Fei, Weiyin Fei
Read more: https://arxiv.org/abs/2506.13207
Title: Research on Optimal Control Problem Based on Reinforcement Learning under Knightian Uncertainty
Authors: Ziyu Li, Chen Fei, Weiyin Fei
Read more: https://arxiv.org/abs/2506.13207
January 27, 2026 at 8:02 AM
🔄 Updated Arxiv Paper
Title: Research on Optimal Control Problem Based on Reinforcement Learning under Knightian Uncertainty
Authors: Ziyu Li, Chen Fei, Weiyin Fei
Read more: https://arxiv.org/abs/2506.13207
Title: Research on Optimal Control Problem Based on Reinforcement Learning under Knightian Uncertainty
Authors: Ziyu Li, Chen Fei, Weiyin Fei
Read more: https://arxiv.org/abs/2506.13207
🔄 Updated Arxiv Paper
Title: An efficient second-order cone programming approach for dynamic optimal transport on staggered grid discretization
Authors: Liang Chen, Youyicun Lin, Yuxuan Zhou
Read more: https://arxiv.org/abs/2505.05424
Title: An efficient second-order cone programming approach for dynamic optimal transport on staggered grid discretization
Authors: Liang Chen, Youyicun Lin, Yuxuan Zhou
Read more: https://arxiv.org/abs/2505.05424
January 27, 2026 at 8:02 AM
🔄 Updated Arxiv Paper
Title: An efficient second-order cone programming approach for dynamic optimal transport on staggered grid discretization
Authors: Liang Chen, Youyicun Lin, Yuxuan Zhou
Read more: https://arxiv.org/abs/2505.05424
Title: An efficient second-order cone programming approach for dynamic optimal transport on staggered grid discretization
Authors: Liang Chen, Youyicun Lin, Yuxuan Zhou
Read more: https://arxiv.org/abs/2505.05424
🔄 Updated Arxiv Paper
Title: Constrained Parameter Update Law for Adaptive Control
Authors: Ashwin P. Dani
Read more: https://arxiv.org/abs/2504.19412
Title: Constrained Parameter Update Law for Adaptive Control
Authors: Ashwin P. Dani
Read more: https://arxiv.org/abs/2504.19412
January 27, 2026 at 8:02 AM
🔄 Updated Arxiv Paper
Title: Constrained Parameter Update Law for Adaptive Control
Authors: Ashwin P. Dani
Read more: https://arxiv.org/abs/2504.19412
Title: Constrained Parameter Update Law for Adaptive Control
Authors: Ashwin P. Dani
Read more: https://arxiv.org/abs/2504.19412
🔄 Updated Arxiv Paper
Title: Data-Driven Distributed Optimization via Aggregative Tracking and Deep-Learning
Authors: Riccardo Brumali, Guido Carnevale, Giuseppe Notarstefano
Read more: https://arxiv.org/abs/2503.04668
Title: Data-Driven Distributed Optimization via Aggregative Tracking and Deep-Learning
Authors: Riccardo Brumali, Guido Carnevale, Giuseppe Notarstefano
Read more: https://arxiv.org/abs/2503.04668
January 27, 2026 at 8:02 AM
🔄 Updated Arxiv Paper
Title: Data-Driven Distributed Optimization via Aggregative Tracking and Deep-Learning
Authors: Riccardo Brumali, Guido Carnevale, Giuseppe Notarstefano
Read more: https://arxiv.org/abs/2503.04668
Title: Data-Driven Distributed Optimization via Aggregative Tracking and Deep-Learning
Authors: Riccardo Brumali, Guido Carnevale, Giuseppe Notarstefano
Read more: https://arxiv.org/abs/2503.04668