Suchergebnisse
Filter
15 Ergebnisse
Sortierung:
Población y censos en Colombia: desde la conquista hasta el siglo XXI
In: Serie identidade
Novedades tecnológicas en la industria colombiana, 1960-1995
In: Cuaderno no. 2
In: Colección de avanzada
Presidentes constructores de la República: lección inaugural, primer semestre 2000
In: Colección Estudios políticos número 20
Dos siglos de historia económica de Antioquia
In: Biblioteca Pro Antioquia Vol. 1
Cartografia dos corpos e espaços em isolamento
In: Revista políticas públicas & cidades, Band 1, Heft 1, S. 1-5
ISSN: 2359-1552
SSRN
Polarizing Corporations: Does Talent Flow to "Good" Firms?
In: NBER Working Paper No. w31913
SSRN
Road Work Ahead: The Emerging Revolution in the Road Construction Industry
In: Stern, Sebastian, Bent Flyvbjerg, Julian Kirchherr, Alexander Budzier, Gabriel Valtuena-Ramos, Karlene Agard, Felix Reitz, 2021, Road Work Ahead: The Emerging Revolution in the Road Construction Industry (White Paper: McKinsey & Company).
SSRN
Ensayos sobre teoría económica, economía urbana y regional, desarrollo energético, actividades ilícitas
In: Colección Aportes
A practical guide to multi-objective reinforcement learning and planning
Real-world sequential decision-making tasks are generally complex, requiring trade-offs between multiple, often conflicting, objectives. Despite this, the majority of research in reinforcement learning and decision-theoretic planning either assumes only a single objective, or that multiple objectives can be adequately handled via a simple linear combination. Such approaches may oversimplify the underlying problem and hence produce suboptimal results. This paper serves as a guide to the application of multi-objective methods to difficult problems, and is aimed at researchers who are already familiar with single-objective reinforcement learning and planning methods who wish to adopt a multi-objective perspective on their research, as well as practitioners who encounter multi-objective decision problems in practice. It identifies the factors that may influence the nature of the desired solution, and illustrates by example how these influence the design of multi-objective decision-making systems for complex problems. ; Funding: Fonds voor Wetenschappelijk Onderzoek (FWO)FWO [1SA2820N]; Flemish GovernmentEuropean Commission; FWOFWO [iBOF/21/027]; National University of Ireland Galway Hardiman Scholarship; FAPERGSFundacao de Amparo a Ciencia e Tecnologia do Estado do Rio Grande do Sul (FAPERGS) [19/2551-0001277-2]; FAPESPFundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP) [2020/05165-1]; Swedish Governmental Agency for Innovation SystemsVinnova [NFFP7/2017-04885]; Wallenberg Artificial Intelligence, Autonomous Systems and Software Program (WASP) - Knut and Alice Wallenberg Foundation; LIFT - Dutch Research Council (NWO) [019.011]; 2017 Microsoft Research PhD Scholarship Program; 2020 Microsoft Research EMEA PhD Award
BASE