The Machine Reconnaissance Blind Chess Tournament of NeurIPS 2022

Ryan W. Gardner; Gino Perrotta; Anvay Shah; Shivaram Kalyanakrishnan; Kevin A. Wang; Gregory Clark; Timo Bertram; Johannes Fürnkranz; Martin Müller; Brady P. Garrison; Prithviraj Dasgupta; Saeid Rezaei

The Machine Reconnaissance Blind Chess Tournament of NeurIPS 2022

Ryan W. Gardner, Gino Perrotta, Anvay Shah, Shivaram Kalyanakrishnan, Kevin A. Wang, Gregory Clark, Timo Bertram, Johannes Fürnkranz, Martin Müller, Brady P. Garrison, Prithviraj Dasgupta, Saeid Rezaei

Institute for Application-oriented Knowledge Processing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings

Abstract

Reconnaissance Blind Chess is a game that plays like regular chess but rather than continuously observing the entire board, each player can only momentarily and privately observe selected board regions. It has imperfect information and little common knowledge. The Johns Hopkins University Applied Physics Laboratory (the game’s creator) and several partners organized the third NeurIPS machine Reconnaissance Blind Chess competition in 2022 to bring people together to attempt to tackle research challenges presented by the game. 18 bots played each other in 9,180 games (60 matches per bot pair) over 4 days. The top bot exceeded the performance of all of last year’s bots yet a practical, sound (unexploitable) algorithm remains unknown.

Original language	English
Title of host publication	Proceedings of the NeurIPS 2022 Competitions Track
Editors	Marco Ciccone, Gustavo Stolovitzky, Jacob Albrecht
Pages	119-132
Number of pages	15
Volume	220
Publication status	Published - 2023

Publication series

Name	Proceedings of Machine Learning Research (PMLR)

Fields of science

102001 Artificial intelligence
102019 Machine learning

JKU Focus areas

Digital Transformation

Cite this

Gardner, R. W., Perrotta, G., Shah, A., Kalyanakrishnan, S., Wang, K. A., Clark, G., Bertram, T., Fürnkranz, J., Müller, M., Garrison, B. P., Dasgupta, P., & Rezaei, S. (2023). The Machine Reconnaissance Blind Chess Tournament of NeurIPS 2022. In Marco Ciccone, Gustavo Stolovitzky, Jacob Albrecht (Ed.), Proceedings of the NeurIPS 2022 Competitions Track (Vol. 220, pp. 119-132). (Proceedings of Machine Learning Research (PMLR)).

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title = "The Machine Reconnaissance Blind Chess Tournament of NeurIPS 2022",

abstract = "Reconnaissance Blind Chess is a game that plays like regular chess but rather than continuously observing the entire board, each player can only momentarily and privately observe selected board regions. It has imperfect information and little common knowledge. The Johns Hopkins University Applied Physics Laboratory (the game{\textquoteright}s creator) and several partners organized the third NeurIPS machine Reconnaissance Blind Chess competition in 2022 to bring people together to attempt to tackle research challenges presented by the game. 18 bots played each other in 9,180 games (60 matches per bot pair) over 4 days. The top bot exceeded the performance of all of last year{\textquoteright}s bots yet a practical, sound (unexploitable) algorithm remains unknown.",

author = "Gardner, {Ryan W.} and Gino Perrotta and Anvay Shah and Shivaram Kalyanakrishnan and Wang, {Kevin A.} and Gregory Clark and Timo Bertram and Johannes F{\"u}rnkranz and Martin M{\"u}ller and Garrison, {Brady P.} and Prithviraj Dasgupta and Saeid Rezaei",

year = "2023",

language = "English",

volume = "220",

series = "Proceedings of Machine Learning Research (PMLR)",

pages = "119--132",

editor = "{Marco Ciccone, Gustavo Stolovitzky, Jacob Albrecht}",

booktitle = "Proceedings of the NeurIPS 2022 Competitions Track",

}

Gardner, RW, Perrotta, G, Shah, A, Kalyanakrishnan, S, Wang, KA, Clark, G, Bertram, T , Fürnkranz, J, Müller, M, Garrison, BP, Dasgupta, P & Rezaei, S 2023, The Machine Reconnaissance Blind Chess Tournament of NeurIPS 2022. in Marco Ciccone, Gustavo Stolovitzky, Jacob Albrecht (ed.), Proceedings of the NeurIPS 2022 Competitions Track. vol. 220, Proceedings of Machine Learning Research (PMLR), pp. 119-132.

The Machine Reconnaissance Blind Chess Tournament of NeurIPS 2022. / Gardner, Ryan W.; Perrotta, Gino; Shah, Anvay et al.
Proceedings of the NeurIPS 2022 Competitions Track. ed. / Marco Ciccone, Gustavo Stolovitzky, Jacob Albrecht. Vol. 220 2023. p. 119-132 (Proceedings of Machine Learning Research (PMLR)).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings

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AU - Garrison, Brady P.

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The Machine Reconnaissance Blind Chess Tournament of NeurIPS 2022

Abstract

Publication series

Fields of science

JKU Focus areas

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