Copertina

Decomposition-Coordination Method for Finite Horizon Bandit Problems

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	de Lara, Michel, Heymann, Benjamin, Chancelier, Jean-Philippe
Natura:	Preprint
Pubblicazione:	2021
Soggetti:	Optimization and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A Unified View of Polarity for Functions
di: Chancelier, Jean-Philippe, et al.
Pubblicazione: (2024)

Temporal and Spatial Decomposition for Prospective Studies in Energy Systems under Uncertainty
di: Parra, Camila Martinez, et al.
Pubblicazione: (2025)

A Production Routing Problem with Mobile Inventories
di: Lefgoum, Raian, et al.
Pubblicazione: (2025)

Geometry of Sparsity-Inducing Norms
di: Chancelier, Jean-Philippe, et al.
Pubblicazione: (2025)

What are Capra-Convex Sets?
di: Chancelier, Jean-Philippe, et al.
Pubblicazione: (2025)

Differentiability and Regularization of Parametric Convex Value Functions in Stochastic Multistage Optimization
di: Franc, Adrien Le, et al.
Pubblicazione: (2022)

Multistage stochastic optimization of a mono-site hydrogen infrastructure by decomposition techniques
di: Lefgoum, Raian, et al.
Pubblicazione: (2024)

Contributions on complexity bounds for Deterministic Partially Observed Markov Decision Process
di: Vessaire, Cyrille, et al.
Pubblicazione: (2023)

Optimal Operation and Valuation of Electricity Storages
di: Chancelier, Jean-Philippe, et al.
Pubblicazione: (2025)

A Two-Timescale Decision-Hazard-Decision Formulation for Storage Usage Values Calculation
di: Parra, Camila Martinez, et al.
Pubblicazione: (2024)

Optimal Operation and Valuation of Electricity Storages in Intraday Markets
di: Chancelier, Jean-Philippe, et al.
Pubblicazione: (2025)

Adding Decision Problem Makes Information More Valuable
di: de Lara, Michel
Pubblicazione: (2026)

Importance Sampling in Expensive Finite-Sum Optimization via Contextual Bandit Methods
di: Menickelly, Matt
Pubblicazione: (2026)

Counterfactual simulations for large scale systems with burnout variables
di: Heymann, Benjamin
Pubblicazione: (2025)

Side-by-side first-price auctions with imperfect bidders
di: Heymann, Benjamin
Pubblicazione: (2025)

Finite Horizon Optimization: Framework and Applications
di: Zhang, Yushun, et al.
Pubblicazione: (2024)

Decomposition Method for Lipschitz Stability of General LASSO-type Problems
di: Hu, Chunhai, et al.
Pubblicazione: (2024)

Linear-Quadratic Problems in Systems and Controls via Covariance Representations and Linear-Conic Duality: Finite-Horizon Case
di: Bamieh, Bassam
Pubblicazione: (2024)

Conditional Separation as a Binary Relation. A Coq Assisted Proof
di: Chancelier, Jean-Philippe, et al.
Pubblicazione: (2021)

Increasing Value of Information Implies Separable Utility
di: de Lara, Michel
Pubblicazione: (2025)

A Decomposition Method for Finite-Time Stabilization of Bilinear Systems with Applications to Parabolic and Hyperbolic Equations
di: Fenza, Kamal, et al.
Pubblicazione: (2025)

Bound Tightening using Rolling-Horizon Decomposition for Neural Network Verification
di: Zhao, Haoruo, et al.
Pubblicazione: (2024)

Approximation of Discrete-Time Infinite-Horizon Mean-Field Equilibria via Finite-Horizon Mean-Field Equilibria
di: Aydın, Uğur, et al.
Pubblicazione: (2025)

Augmenting Subspace Optimization Methods with Linear Bandits
di: Menickelly, Matt
Pubblicazione: (2024)

Asynchronous Distributed Learning with Quantized Finite-Time Coordination
di: Bastianello, Nicola, et al.
Pubblicazione: (2024)

Variance Reduced Random Relaxed Projection Method for Constrained Finite-sum Minimization Problems
di: Yang, Zhichun, et al.
Pubblicazione: (2022)

A Projected Stochastic Gradient Method for Finite-Sum Problems with Linear Equality Constraints
di: Jerinkic, Natasa Krklec, et al.
Pubblicazione: (2026)

Decomposition and Successive Decomposition Methods and Algorithms for Nonconvex Optimization
di: Zhai, Yiqing, et al.
Pubblicazione: (2026)

Finite Horizon Robustness Analysis of LTV Systems Using Integral Quadratic Constraints
di: Seiler, Peter, et al.
Pubblicazione: (2017)

Finite-Horizon Partially Observable Semi-Markov Games with Risk Probability Criteria
di: Wen, Xin, et al.
Pubblicazione: (2025)

A Randomized Block-Coordinate Primal-Dual Method for Large-scale Stochastic Saddle Point Problems
di: Hamedani, Erfan Yazdandoost, et al.
Pubblicazione: (2019)

A Quasi-Newton Method to Solve Uncertain Multiobjective Optimization Problems with Uncertainty Set of Finite Cardinality
di: Gupta, K., et al.
Pubblicazione: (2025)

Newton Method for Set Optimization Problems with Set-Valued Mapping of Finitely Many Vector-Valued Functions
di: Ghosh, Debdas, et al.
Pubblicazione: (2024)

An Optimal Solution to Infinite Horizon Nonholonomic and Discounted Nonlinear Control Problems
di: Mohamed, Mohamed Naveed Gul, et al.
Pubblicazione: (2024)

Distributed Optimization and Learning for Automated Stepsize Selection with Finite Time Coordination
di: Rikos, Apostolos I., et al.
Pubblicazione: (2025)

Welfare-Optimized Recommender Systems
di: Heymann, Benjamin, et al.
Pubblicazione: (2022)

Stochastic Iterative Methods for Online Rank Aggregation from Pairwise Comparisons
di: Jarman, Benjamin, et al.
Pubblicazione: (2024)

Distributionally Robust Kalman Filtering over Finite and Infinite Horizon
di: Kargin, Taylan, et al.
Pubblicazione: (2024)

Deep Reinforcement Learning for Infinite Horizon Mean Field Problems in Continuous Spaces
di: Angiuli, Andrea, et al.
Pubblicazione: (2023)

Seierstad Sufficient Conditions for Stochastic Optimal Control Problems with Infinite Horizon
di: Belyakov, Anton O., et al.
Pubblicazione: (2025)