Amanote Research

Amanote Research

    RegisterSign In

Using Deep Q-Learning to Understand the Tax Evasion Behavior of Risk-Averse Firms

Expert Systems with Applications - United Kingdom
doi 10.1016/j.eswa.2018.01.039
Full Text
Open PDF
Abstract

Available in full text

Categories
EngineeringComputer Science ApplicationsArtificial Intelligence
Date

July 1, 2018

Authors
Nikolaos D. GoumagiasDimitrios Hristu-VarsakelisYannis M. Assael
Publisher

Elsevier BV


Related search

Tax Evasion

Ekonomski izazovi
2013English

The Model of Tax Evasion, Its Coherence to the Practical Tax Administration

Ekonomika
2010English

Keeping It Off the Books: An Empirical Investigation of Firms That Engage in Tax Evasion

Applied Economics
EconomicsEconometrics
2010English

Tax Evasion and Tax Compliance

SSRN Electronic Journal
1998English

Risk-Averse Newsvendor Model With Strategic Consumer Behavior

Journal of Applied Mathematics
Applied Mathematics
2013English

Tax Evasion and Inequality

American Economic Review
EconomicsEconometrics
2019English

Deep Reinforcement Learning of the Model Fusion With Double Q-Learning

DEStech Transactions on Computer Science and Engineering
2017English

How Large Manufacturing Firms Understand the Impact of Digitization: A Learning Perspective

2020English

Tax Evasion and Competition

Scottish Journal of Political Economy
EconomicsSociologyEconometricsPolitical Science
2011English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy