Using Reinforcement Learning for Generating Polynomial Models to Explain Complex Data

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2661-8907

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Using Reinforcement Learning for Generating Polynomial Models to Explain Complex Data ; volume:2 ; number:2 ; day:19 ; month:2 ; year:2021 ; pages:1-11 ; date:4.2021
SN Computer Science ; 2, Heft 2 (19.2.2021), 1-11, 4.2021

Creator: Ståhl, Niclas
Mathiason, Gunnar
Alcacoas, Dellainey

Contributor: SpringerLink (Online service)

DOI: 10.1007/s42979-021-00488-w

URN: urn:nbn:de:101:1-2021051621430354123324

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:54 AM CEST

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Ståhl, Niclas
Mathiason, Gunnar
Alcacoas, Dellainey
SpringerLink (Online service)

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Genetic effects on molecular network states explain complex traits

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Adaptive polynomial tabulation : a computationally efficient strategy for complex kinetics

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Adaptive Polynomial Tabulation : a computationally efficient strategy for complex kinetics

POLYNOMIAL-GAUSSIAN VECTORS AND POLYNOMIAL-GAUSSIAN PROCESSES

Polynomial convexity

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Using Reinforcement Learning for Generating Polynomial Models to Explain Complex Data

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Other Objects (12)

GENEREIT: generating multi-talented reinforcement learning agents

Generating realistic scaled complex networks

Whitney theorem for complex polynomial mappings

Reinforcement learning on complex visual stimuli

Enclosure of the Range of a Complex Polynomial Over a Complex Interval

Genetic effects on molecular network states explain complex traits

Impairments in reinforcement learning do not explain enhanced habit formation in cocaine use disorder

Adaptive polynomial tabulation : a computationally efficient strategy for complex kinetics

Adaptive polynomial tabulation : a computationally efficient strategy for complex kinetics

Adaptive Polynomial Tabulation : a computationally efficient strategy for complex kinetics

POLYNOMIAL-GAUSSIAN VECTORS AND POLYNOMIAL-GAUSSIAN PROCESSES

Polynomial convexity

GENEREIT: generating multi-talented reinforcement learning agents

Generating realistic scaled complex networks

Whitney theorem for complex polynomial mappings

Reinforcement learning on complex visual stimuli

Enclosure of the Range of a Complex Polynomial Over a Complex Interval

Genetic effects on molecular network states explain complex traits

Impairments in reinforcement learning do not explain enhanced habit formation in cocaine use disorder

Adaptive polynomial tabulation : a computationally efficient strategy for complex kinetics

Adaptive polynomial tabulation : a computationally efficient strategy for complex kinetics

Adaptive Polynomial Tabulation : a computationally efficient strategy for complex kinetics

POLYNOMIAL-GAUSSIAN VECTORS AND POLYNOMIAL-GAUSSIAN PROCESSES

Polynomial convexity

GENEREIT: generating multi-talented reinforcement learning agents

Generating realistic scaled complex networks

Whitney theorem for complex polynomial mappings

Reinforcement learning on complex visual stimuli

Enclosure of the Range of a Complex Polynomial Over a Complex Interval

Genetic effects on molecular network states explain complex traits

Impairments in reinforcement learning do not explain enhanced habit formation in cocaine use disorder

Adaptive polynomial tabulation : a computationally efficient strategy for complex kinetics

Adaptive polynomial tabulation : a computationally efficient strategy for complex kinetics

Adaptive Polynomial Tabulation : a computationally efficient strategy for complex kinetics

POLYNOMIAL-GAUSSIAN VECTORS AND POLYNOMIAL-GAUSSIAN PROCESSES

Polynomial convexity

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