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Learning Diverse Policies in MOBA Games via Macro-Goals
[article]
2021
arXiv
pre-print
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Recently, many researchers have made successful progress in building the AI systems for MOBA-game-playing with deep reinforcement learning, such as on Dota 2 and Honor of Kings. ...
In this paper, we propose a novel Macro-Goals Guided framework, called MGG, to learn diverse policies in MOBA games. ...
Like AlphaGo, our method can provide a high-quality low-cost training environment with diverse strategies for e-sports players. ...
arXiv:2110.14221v1
fatcat:5324o5x75zbmbgrjivqk2zn2r4
Data-driven Analysis for Understanding Team Sports Behaviors
[article]
2021
arXiv
pre-print
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2021 pre-print arXiv:2102.07545v1 fatcat:t62xpujkgne3dd733253zvxjv4
This survey focuses on data-driven analysis for quantitative understanding of invasion team sports behaviors such as basketball and football, and introduces two main approaches for understanding such multi-agent ...
The rules regarding the real-world biological multi-agent behaviors such as team sports are often largely unknown due to their inherently higher-order interactions, cognition, and body dynamics. ...
Acknowledgements I would like to thank Atom Scott, Masaki Onishi, and Rory Bunker for their valuable comments on this work. ...
arXiv:2102.07545v2
fatcat:hadans3a5nbbzcq4uezz2utj2e
Learning Agent Representations for Ice Hockey
2020
Neural Information Processing Systems
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Team sports is a new application domain for agent modeling with high real-world impact. ...
The diversity and sparsity of player observations make it difficult to extend previous agent representation models to the sports domain. ...
We are grateful for helpful comments from Jesse Davis, Tim Swartz, and the reviewers and participants in the 2019 AAAI Team Sports workshop. ...
dblp:conf/nips/LiuSPRJ20
fatcat:djl37wta6zee7gscmioxt7ppky
Automatically recognizing strategic cooperative behaviors in various situations of a team sport
2018
PLoS ONE
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Here, we propose an automatic recognition system for strategic cooperative plays, which are the minimal, basic, and diverse plays in a ball game. ...
Understanding multi-agent cooperative behavior is challenging in various scientific and engineering domains. ...
Acknowledgments We would like to thank Yuji Yamamoto, Akira Rikukawa, Takeshi Koyama, Keiko Yokoyama, Hiroshi Yamada, Akito Miura, Charlie Rohlf and the STATS team for their help for this work. ...
doi:10.1371/journal.pone.0209247
pmid:30562367
pmcid:PMC6298668
fatcat:vketyawjlnghjnvkssdyeyeuxq
COVID-19 impacts on sport governance and management: a global, critical realist perspective
2021
Managing Sport and Leisure
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We draw on their use of multi-level theory and method to offer a perspective that takes into account the complexity and diversity of COVID-19 impacts on sport governance. ...
For example, the IOC did not cancel the Tokyo Games until various sports organizations, such as The Canadian Paralympic Committee, decided not to send athletes to the Tokyo 2020 Paralympic Games. ...
doi:10.1080/23750472.2020.1867002
fatcat:xfx6hrsrdjarjaox2ujvcpi5k4
Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
[article]
2020
arXiv
pre-print
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The interpretability of the learned skills show the promise of the proposed method for achieving human-AI cooperation in team sports games. ...
As a step toward creating intelligent agents with this capability for fully cooperative multi-agent settings, we propose a two-level hierarchical multi-agent reinforcement learning (MARL) algorithm with ...
We also thank individuals from Electronic Arts: Maziar Sanjabi and Yunqi Zhao for discussions; Caedmon Somers, Jason Rupert and Yunqi Zhao for STS2 development; Mohsen Sardari and Kazi Zaman for support ...
arXiv:1912.03558v3
fatcat:fikxxxrginc27dx6on37ocen3u
Editorial: Traditional Sporting Games and Play: Enhancing Cultural Diversity, Emotional Well-Being, Interpersonal Relationships and Intelligent Decisions
2021
Frontiers in Psychology
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Finally, we would also like to thank the Journal Frontiers in Psychology for being a pioneer in organizing a scientific monograph on traditional sporting games and play. ...
AUTHOR CONTRIBUTIONS All authors listed (PL-B, MB, and MP) have made a substantial, direct, and intellectual contribution to the work, and approved it for publication. ...
Parlebas could be considered the Darwin, Freud, or Einstein of the field of physical education and sports, because he created a specific epistemological corpus for the field of motor practices in general ...
doi:10.3389/fpsyg.2021.766625
pmid:34777175
pmcid:PMC8586544
fatcat:iijvrle5jbeophpi36f6t3whfm
Evolving Strategies for Social Innovation Games
2015
Proceedings of the 2015 on Genetic and Evolutionary Computation Conference - GECCO '15
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Evolutionary computation in competitive multi-agent search thus provides a possible framework for understanding and supporting various human creative activities in the future. ...
In experiments in a social innovation game (similar to a fantasy sports league), neural networks were first trained to model individual human players. ...
Goldstone at Indiana University for providing data and support for the game domain. ...
doi:10.1145/2739480.2754790
dblp:conf/gecco/BahceciKM15
fatcat:xanhbgndkzhanmfrdcmbrx25gi
Review of Sports psyching: Playing your best game all of the time
1976
Contemporary Psychology
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For this point suicide will do, for that one the Jewish Kabbalists are more ap- propriate. The result is a provocative excursion into diverse domains; it is not a penetrating theoretical analysis. ...
GEORGE MANDLER
THomas TutTKo and UmBerto Tost.
_ Sports psyching: Playing your best game all of the time. Los Angeles: Tarcher, 1976. Pp. viii + 229. $6.95. ...
doi:10.1037/014811
fatcat:nlm7vd76fvbv5lbpnjthapyoiu
HID: Hierarchical Multiscale Representation Learning for Information Diffusion
2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence
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For a specific user, whether and when to adopt a piece of information propagated from another user is affected by complex interactions, and thus, is very challenging to model. ...
However, it has not been properly explored for the prominent task of information diffusion, which aims to understand how information propagates along users in online social networks. ...
A novel application of IRL to learning reward for teams in professional sports. Our method is general and can be applied to multi-agent dynamics in other domains. 2. ...
doi:10.24963/ijcai.2020/464
dblp:conf/ijcai/LuoSP20
fatcat:vmb4rqtkzvcp5czqbvs7uignsq
Emergent Coordination Through Competition
[article]
2019
arXiv
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Our study highlights several of the challenges encountered in large scale multi-agent training in continuous control. ...
We study the emergence of cooperative behaviors in reinforcement learning agents by introducing a challenging competitive multi-agent soccer environment with continuous simulated physics. ...
Thus, we use a recurrent critic to enable the Q-function to implicitly condition on other players observed behavior, better estimate the correct value for the current game, and generalize over the diversity ...
arXiv:1902.07151v2
fatcat:dbhxgyk5lzb4zhhoflvjt642sy
The Diverse Worlds of Computer Games: A Content Analysis of Spaces, Populations, Styles and Narratives
2003
Conference of the Digital Games Research Association
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The Diverse Worlds Project analysed 130 computer and video games (CVGs) to understand their textual landscape. Titles were sampled from the five gaming platforms dominant in 2002. ...
Graphic stylisation tends toward a mid-point between animation and photo-realism with the latter more often used for rendering environments and the former for characters. ...
Material contribution of game titles was made by the Interactive Entertainment Association of Australia. The authors wish to thank both for their generosity. ...
dblp:conf/digra/BrandKM03
fatcat:4o2p4xaejnbgrctr4awgkyxnqm
Theory of Cooperative-Competitive Intelligence: Principles, Research Directions, and Applications
2020
Frontiers in Psychology
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Secondly, we define and discuss the three interacting principles that underpin CCI behavior as well as providing an outline for a future CCI research program supported by agent-based modeling and empirical ...
U) potential of the agent or team. ...
For example, the diversity of strategically constraining the game (different formations) will reflect the potential diversity of behavior of player dyads and individual players. ...
doi:10.3389/fpsyg.2020.02220
pmid:33041893
pmcid:PMC7518128
fatcat:t2z6upowpvbzdgvb3jafud7m6u
A combined tactical and strategic hierarchical learning framework in multi-agent games
2008
Proceedings of the 2008 ACM SIGGRAPH symposium on Video games - Sandbox '08
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This paper presents a novel approach to modeling a generic cognitive framework in game agents to provide tactical behavior generation as well as strategic decision making in modern multi-agent computer ...
games. ...
The framework is also generic enough to be applied other game genres like RPG, FPS and sports games. ...
doi:10.1145/1401843.1401865
fatcat:qqphp725jferjcfdggkbkub5ci
Foreword: Design Histories of the Olympic Games
2012
Journal of Design History
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Modern Olympism blended sports, culture, and education, and as a revival of the ancient Greek Games, it was developed within the broader milieu of antiquarianism. ...
Characterized as a hybrid of urban festival and quasi-religious event, the modern Olympics have a strong ceremonial aspect that is generated by design. ...
The present articles examine design's role in the politics of national representation through the Olympic Games, and its function as an agent of change. ...
doi:10.1093/jdh/eps019
fatcat:6kw5q2kdsvffrd3pjx2rcpi56a
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