Chi-Guhn Lee

University of Toronto

Toronto, Ontario M5S 3G8

Canada

SCHOLARLY PAPERS

5

DOWNLOADS

93

SSRN CITATIONS

1

CROSSREF CITATIONS

0

Scholarly Papers (5)

1.

What is the Value of the Cross-Sectional Approach to Deep Reinforcement Learning?

Number of pages: 21 Posted: 08 Feb 2021
University of Toronto, affiliation not provided to SSRN and University of Toronto
Downloads 54 (439,597)
Citation 1

Abstract:

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Reinforcement Learning, Machine Learning, Dynamic Portfolio Allocation

2.

Reinforcement Learning with Symmetry Augmentation for Portfolio Management

Number of pages: 11 Posted: 08 Feb 2021
Amine Mohamed Aboussalah and Chi-Guhn Lee
University of Toronto and University of Toronto
Downloads 39 (501,512)

Abstract:

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Reinforcement Learning, Machine Learning, Symmetry Augmentation, Dynamic Portfolio Allocation

3.

Dynamic Pricing Under Consumer's Sequential Search

Posted: 26 Jun 2016 Last Revised: 09 Nov 2020
HEC Paris, University of Toronto, Santa Clara University - Leavey School of Business and Santa Clara University - Leavey School of Business

Abstract:

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Dynamic Pricing; Substitutable Products; Sequential Search; Threshold Structure; Sequencing

4.

The European Freight Railway System as a Hub-and-Spoke Network

Transportation Research Part A 41 (2007) 523–536
Posted: 16 Jun 2016
S.-J. Jeong, Chi-Guhn Lee and James H. Bookbinder
The Korea Transport Institute (KOTI) - Center for Northeast Asian Transportation Logistics and Transport Economics, University of Toronto and University of Waterloo

Abstract:

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Hub-and-spoke problem, Rail freight, Network design, Optimization, Logistics, Europe

5.

Evaluation and Optimization of Feed-In Tariffs

Energy Policy, vol. 49, 2012, 192-203
Posted: 03 Jan 2014
Kyoung-Kuk Kim and Chi-Guhn Lee
Korea Advanced Institute of Science and Technology and University of Toronto

Abstract:

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Feed-in Tariff; Renewable Energy; Real Option