WARDS : Modelling the Worth of Vision in MOBA’s

Pedrassoli Chitayat, Alan, Kokkinakis, Athanasios, Patra, Sagarika et al. (8 more authors) (2020) WARDS : Modelling the Worth of Vision in MOBA’s. In: Arai, Kohei, Kapoor, Supriya and Bhatia, Rahul, (eds.) Intelligent Computing - Proceedings of the 2020 Computing Conference. Science and Information Conference, SAI 2020, 16-17 Jul 2020 Advances in Intelligent Systems and Computing . Springer , GBR , pp. 63-81.

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Copyright, Publisher and Additional Information: This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.
Keywords: Dota 2,Esports,Imperfect information game,Information gathering,League of Legends,Machine learning,Neural networks,Real time prediction,Control and Systems Engineering,Computer Science
Dates:
  • Published: 4 July 2020
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
The University of York > Faculty of Arts and Humanities (York) > Theatre, Film & Television (York)
Depositing User: Pure (York)
Date Deposited: 18 Jan 2021 17:30
Last Modified: 01 Sep 2021 15:21
Published Version: https://doi.org/10.1007/978-3-030-52246-9_5
Status: Published
Publisher: Springer
Series Name: Advances in Intelligent Systems and Computing
Refereed: No
Identification Number: https://doi.org/10.1007/978-3-030-52246-9_5
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Filename: WARDS_SAI_3_.pdf

Description: Accepted Final Version of WARDS

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