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Running Sports Decision Aid Tool Based on ...
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由 R Kozik 著作2018 — From the scientific standpoint, the tool adapts reinforcement learning in order to propose the runner suggestions that will allow for improving ...
Joanna Morzynska
DBLP
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2024年4月25日 — Rafal Kozik , Joanna Morzynska, Michal Choras: Running Sports Decision Aid Tool Based on Reinforcement Learning Approach. IP&C 2017: 160-169.
(PDF) Tactical Intelligent Decision Modelling in Sports ...
ResearchGate
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2024年10月22日 — By applying RL algorithms to sports competitions, teams can develop intelligent decision models that dynamically adjust tactics and strategies ...
Exploiting pitcher decision-making using Reinforcement ...
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2024年10月22日 — This manuscript uses machine learning techniques to exploit baseball pitchers' decision making, so-called "Baseball IQ," by modeling the ...
A Dynamic Programming Approach for Ambient ...
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由 J Vales-Alonso 著作2012被引用 7 次 — In this paper, we introduce a decision making method for a multi-step training scenario based on dynamic program optimization and formulated as a Markov ...
Ambient intelligence assistant for running sports based on k-NN ...
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Running Sports Decision Aid Tool Based on Reinforcement Learning Approach · R ... aid tool that supports running sports practitioners in their daily training ...
A machine learning approach to identify risk factors for ...
National Institutes of Health (NIH) (.gov)
https://pmc.ncbi.nlm.nih.gov › articles
National Institutes of Health (NIH) (.gov)
https://pmc.ncbi.nlm.nih.gov › articles
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由 AL Rahlf 著作2022被引用 18 次 — A machine learning approach will be used to comprehensively analyze biomechanical, biological, and loading parameters in order to identify risk factors.
(PDF) MONEYBaRL: Exploiting pitcher decision-making using ...
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TL;DR: Adaptive decision aid tool that supports running sports practitioners in their daily training activities that adapts reinforcement learning in order to ...
Artificial intelligence and Machine Learning approaches in ...
ScienceDirect.com
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由 FJJ Reis 著作2024被引用 8 次 — AI can benefit injury prevention and performance optimization in sports. Challenges include data availability, ethical, social and technical issues.
Deep Reinforcement Learning for Football Player Decision ...
L-Università ta' Malta
https://www.um.edu.mt › library › oar › bitstream
L-Università ta' Malta
https://www.um.edu.mt › library › oar › bitstream
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由 M Pulis 著作2023 — In this work, the authors attempt to develop a single algorithm that can play several different Atari 2600 games, where the only observations are the game score ...
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