Imagen de Portada

Deep Reinforcement Learning: A Convex Optimization Approach

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Gattami, Ather
Formato:	Preprint
Publicado:	2024
Materias:	Optimization and Control Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Are Convex Optimization Curves Convex?
por: Barzilai, Guy, et al.
Publicado: (2025)

Learning Algorithm Hyperparameters for Fast Parametric Convex Optimization
por: Sambharya, Rajiv, et al.
Publicado: (2024)

Learning-Augmented Decentralized Online Convex Optimization in Networks
por: Li, Pengfei, et al.
Publicado: (2023)

CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks
por: Feng, Miria, et al.
Publicado: (2024)

The Price of Adaptivity in Stochastic Convex Optimization
por: Carmon, Yair, et al.
Publicado: (2024)

Stochastic Difference-of-Convex Optimization with Momentum
por: Chayti, El Mahdi, et al.
Publicado: (2025)

Online Convex Optimization with Unbounded Memory
por: Kumar, Raunak, et al.
Publicado: (2022)

Smooth Quasar-Convex Optimization with Constraints
por: Martínez-Rubio, David
Publicado: (2025)

Unconstrained Robust Online Convex Optimization
por: Zhang, Jiujia, et al.
Publicado: (2025)

LyAm: Robust Non-Convex Optimization for Stable Learning in Noisy Environments
por: Mirzabeigi, Elmira, et al.
Publicado: (2025)

Compressed Proximal Federated Learning for Non-Convex Composite Optimization on Heterogeneous Data
por: Qiu, Pu, et al.
Publicado: (2026)

A Novel Hybrid Heuristic-Reinforcement Learning Optimization Approach for a Class of Railcar Shunting Problems
por: Zhao, Ruonan, et al.
Publicado: (2026)

The ADMM-PINNs Algorithmic Framework for Nonsmooth PDE-Constrained Optimization: A Deep Learning Approach
por: Song, Yongcun, et al.
Publicado: (2023)

Precise Insulin Delivery for Artificial Pancreas: A Reinforcement Learning Optimized Adaptive Fuzzy Control Approach
por: Mameche, Omar, et al.
Publicado: (2025)

Optimal Rates for Robust Stochastic Convex Optimization
por: Gao, Changyu, et al.
Publicado: (2024)

Shuffling Momentum Gradient Algorithm for Convex Optimization
por: Tran, Trang H., et al.
Publicado: (2024)

Online Convex Optimization with Memory and Limited Predictions
por: Wang, Zhengmiao, et al.
Publicado: (2024)

Online Convex Optimization with a Separation Oracle
por: Mhammedi, Zakaria
Publicado: (2024)

Parametric Nonconvex Optimization via Convex Surrogates
por: Wang, Renzi, et al.
Publicado: (2026)

Bayesian Optimization for Non-Convex Two-Stage Stochastic Optimization Problems
por: Buckingham, Jack M., et al.
Publicado: (2024)

Attentive Convolutional Deep Reinforcement Learning for Optimizing Solar-Storage Systems in Real-Time Electricity Markets
por: Li, Jinhao, et al.
Publicado: (2024)

Stochastic Weakly Convex Optimization Beyond Lipschitz Continuity
por: Gao, Wenzhi, et al.
Publicado: (2024)

The Sample Complexity of Gradient Descent in Stochastic Convex Optimization
por: Livni, Roi
Publicado: (2024)

Online Non-Stationary Stochastic Quasar-Convex Optimization
por: Pun, Yuen-Man, et al.
Publicado: (2024)

Safe Online Convex Optimization with Multi-Point Feedback
por: Hutchinson, Spencer, et al.
Publicado: (2024)

Tight Bounds for Online Convex Optimization with Adversarial Constraints
por: Sinha, Abhishek, et al.
Publicado: (2024)

An Optimistic Algorithm for Online Convex Optimization with Adversarial Constraints
por: Lekeufack, Jordan, et al.
Publicado: (2024)

Constrained Online Convex Optimization with Polyak Feasibility Steps
por: Hutchinson, Spencer, et al.
Publicado: (2025)

Optimal Algorithms for Online Convex Optimization with Adversarial Constraints
por: Sinha, Abhishek, et al.
Publicado: (2023)

Small Gradient Norm Regret for Online Convex Optimization
por: Gao, Wenzhi, et al.
Publicado: (2026)

The Sample Complexity of Parameter-Free Stochastic Convex Optimization
por: Lawrence, Jared, et al.
Publicado: (2025)

Distributed Online Convex Optimization with Nonseparable Costs and Constraints
por: Pan, Zhaoye, et al.
Publicado: (2026)

Stochastic Non-Smooth Convex Optimization with Unbounded Gradients
por: Kovalev, Dmitry
Publicado: (2026)

A Unified Framework for Analyzing Meta-algorithms in Online Convex Optimization
por: Pedramfar, Mohammad, et al.
Publicado: (2024)

The Surprising Agreement Between Convex Optimization Theory and Learning-Rate Scheduling for Large Model Training
por: Schaipp, Fabian, et al.
Publicado: (2025)

A Modular Algorithm for Non-Stationary Online Convex-Concave Optimization
por: Meng, Qing-xin, et al.
Publicado: (2025)

Global Optimization: A Machine Learning Approach
por: Bertsimas, Dimitris, et al.
Publicado: (2023)

Structure-Informed Deep Reinforcement Learning for Inventory Management
por: Maggiar, Alvaro, et al.
Publicado: (2025)

Projection-Free Online Convex Optimization with Time-Varying Constraints
por: Garber, Dan, et al.
Publicado: (2024)

Differentiable Convex Optimization Layers in Neural Architectures: Foundations and Perspectives
por: Katyal, Calder
Publicado: (2024)