In-game soccer outcome prediction with offline reinforcement learning

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: In-game soccer outcome prediction with offline reinforcement learning ; volume:113 ; number:10 ; day:6 ; month:9 ; year:2024 ; pages:7393-7419 ; date:10.2024
Machine learning ; 113, Heft 10 (6.9.2024), 7393-7419, 10.2024

Creator: Rahimian, Pegah
Mihalyi, Balazs Mark
Toka, Laszlo

Contributor: SpringerLink (Online service)

DOI: 10.1007/s10994-024-06611-1

URN: urn:nbn:de:101:1-2501062120237.423077665960

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

Last update: 15.08.2025, 7:35 AM CEST

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Rahimian, Pegah
Mihalyi, Balazs Mark
Toka, Laszlo
SpringerLink (Online service)

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In-game soccer outcome prediction with offline reinforcement learning

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Other Objects (12)

Policy Regularization for Model-Based Offline Reinforcement Learning

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The mental game : cognitive training, creativity, & game intelligence in soccer

Circle soccer training : 100 games and drills to improve game competence

A maintenance planning framework using online and offline deep reinforcement learning

Reinforcement, repeated games, and local interaction

Anwendung von Reinforcement Learning in der RoboCup Soccer Simulation League

Game over: Empirical support for soccer bets regulation

Policy Regularization for Model-Based Offline Reinforcement Learning

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Goal-conditioned offline reinforcement learning through state space partitioning

Optimizing trajectories for highway driving with offline reinforcement learning

Attacking soccer : mastering the modern game

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The mental game : cognitive training, creativity, & game intelligence in soccer

Circle soccer training : 100 games and drills to improve game competence

A maintenance planning framework using online and offline deep reinforcement learning

Reinforcement, repeated games, and local interaction

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Policy Regularization for Model-Based Offline Reinforcement Learning

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