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Chapter 1. Learning About Learning in Dynamic Economic Models

Kendrick, David A.; Amman, Hans M.; Tucci, Marco P. - In: Handbook of computational economics : volume 3, (pp. 1-35). 2014

This chapter of the Handbook of Computational Economics is mostly about research on active learning and is confined to … discussion of learning in dynamic models in which the system equations are linear, the criterion function is quadratic, and the … additive noise terms are Gaussian. Though there is much work on learning in more general systems, it is useful here to focus on …

Persistent link: https://www.econbiz.de/10014025721

Endogenous grids in higher dimensions : delaunay interpolation and hybrid methods

Ludwig, Alexander; Schön, Matthias - 2013

Persistent link: https://www.econbiz.de/10010187593

Optimal portfolio construction and active portfolio management including alternative investments

Keel, Simon Theodor (contributor) - 2006

Persistent link: https://www.econbiz.de/10003512326

Solving dynamic stochastic economic models by mathematical programming decomposition methods

Esteban-Bravo, Mercedes; Nogales, Francisco J. - In: Computers & operations research : and their … 35 (2008) 1, pp. 226-240

Persistent link: https://www.econbiz.de/10003665946

A finite time analysis of temporal difference learning with linear function approximation

Bhandari, Jalaj; Russo, Daniel; Singal, Raghav - In: Operations research 69 (2021) 3, pp. 950-973

Persistent link: https://www.econbiz.de/10012546910

Workforce production planning under uncertain learning rates

Cavagnini, Rossana; Hewitt, Mike; Maggioni, Francesca - In: International journal of production economics 225 (2020), pp. 1-19

Persistent link: https://www.econbiz.de/10012293871

Dynamic learning and decision making via basis weight vectors

Zhang, Hao - In: Operations research 70 (2022) 3, pp. 1835-1853

Persistent link: https://www.econbiz.de/10013366270

Opportunities for reinforcement learning in stochastic dynamic vehicle routing

Hildebrandt, Florentin D.; Thomas, Barrett W.; Ulmer, … - In: Computers & operations research : and their … 150 (2023), pp. 1-14

Persistent link: https://www.econbiz.de/10013483616

Stochastic mixed model sequencing with multiple stations using reinforcement learning and probability quantiles

Brammer, Janis; Lutz, Bernhard; Neumann, Dirk - In: OR spectrum : quantitative approaches in management 44 (2022) 1, pp. 29-56

Persistent link: https://www.econbiz.de/10013172601

Dynamic stochastic electric vehicle routing with safe reinforcement learning

Basso, Rafael; Kulcsár, Balázs; Sanchez-Diaz, Ivan; … - In: Transportation research / E : an international journal 157 (2022), pp. 1-21

Persistent link: https://www.econbiz.de/10013169823

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