Reconnaissance Blind Chess

Papers on RBC

Reconnaissance Blind Chess

Andrew J. Newman, Casey L. Richardson, Sean M. Kain, Paul G. Stankiewicz, Paul R. Guseman, Blake A. Schreurs, Jeffrey A. Dunne, "Reconnaissance blind multi-chess: an experimentation platform for ISR sensor fusion and resource management," Proc. SPIE 9842, Signal Processing, Sensor/Information Fusion, and Target Recognition XXV, 984209 (17 May 2016); https://doi.org/10.1117/12.2228127

Jared Markowitz, Ryan W. Gardner, Ashley J. Llorens, "On the Complexity of Reconnaissance Blind Chess," arXiv:1811.03119 (2019)

RBC Competitions

Ryan W. Gardner, Corey Lowman, Casey Richardson, Ashley J. Llorens, Jared Markowitz, Nathan Drenkow, Andrew Newman, Gregory Clark, Gino Perrotta, Robert Perrotta, Timothy Highley, Vlad Shcherbina, William Bernadoni, Mark Jordan, Asen Asenov, "The First International Competition in Machine Reconnaissance Blind Chess," Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR 123:121-130 (2020)

RBC Algorithms

Timothy Highley, Brendan Funk, and Laureen Okin, "Dealing with uncertainty: a PiecewiseGrid agent for reconnaissance blind chess," J. Comput. Sci. Coll. 35, 8 (April 2020), 156–165.

Kyle Blowitski and Timothy Highley. "Checkpoint variations for deep Q-learning in reconnaissance blind chess," J. Comput. Sci. Coll. 37, 3 (October 2021), 81–88. (JCSC, 2021)

Gregory Clark, "Deep Synoptic Monte Carlo Planning in Reconnaissance Blind Chess," Advances in Neural Information Processing Systems 34 (NeurIPS 2021).


We welcome suggestions of missing papers by email at ReconBlindChess@jhuapl.edu!