Exploring the boundaries of Deep Reinforcement Learning in simulated environments: A study on financial trading and lot-sizing

Brandimarte, Paolo; Kanashiro Felizardo, Leonardo

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Università degli Studi di Torino

Exploring the boundaries of Deep Reinforcement Learning in simulated environments: A study on financial trading and lot-sizing

dc:creator Brandimarte, Paolo; Kanashiro Felizardo, Leonardo

dc:date2024

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Grantor dc:publisher: Università degli Studi di Torino
Year dc:date: 2024

Author and committee

dc:creator, dc:contributor.*

Authors dc:creator: Brandimarte, Paolo
Kanashiro Felizardo, Leonardo

Subjects

dc:subject × 1

Settore MAT/09 - Ricerca Operativa

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Statement dc:rights: info:eu-repo/semantics/openAccess
Language dc:language: eng

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Handle dc:identifier: https://hdl.handle.net/2318/2017792
OAI identifier oai:identifier: oai:iris.unito.it:2318/2017792

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Harvested from: Università di Torino
Base URL: iris.unito.it/oai/driver
Last updated: 2026-07-24
Source record: OAI-PMH GetRecord

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Brandimarte, Paolo; Kanashiro Felizardo, Leonardo. Exploring the boundaries of Deep Reinforcement Learning in simulated environments: A study on financial trading and lot-sizing. Università degli Studi di Torino, 2024. https://hdl.handle.net/2318/2017792

Exploring the boundaries of Deep Reinforcement Learning in simulated environments: A study on financial trading and lot-sizing

Degree

Author and committee

Subjects

Rights

Identifiers

Chain of custody

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