ABOUT NEWS & EVENTS FACILITY PUBLICATIONS CAREERS Reconnaissance Blind Chess Home Play RBC User Account RBC Resources Discuss on Reddit 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); 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) Gino Perrotta, Ryan W. Gardner, Corey Lowman, Mohammad Taufeeque, Nitish Tongia, Shivaram Kalyanakrishnan, Gregory Clark, Kevin Wang, Eitan Rothberg, Brady P. Garrison, Prithviraj Dasgupta, Callum Canavan, Lucas McCabe, "The Second NeurIPS Tournament of Reconnaissance Blind Chess," Proceedings of the NeurIPS 2021 Competition and Demonstration Track, PMLR 176:53-65 (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," Proceedings of the NeurIPS 2022 Competitions Track, PMLR 220:119-132 (2023) 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. Gregory Clark, "Deep Synoptic Monte Carlo Planning in Reconnaissance Blind Chess," Advances in Neural Information Processing Systems 34 (NeurIPS 2021). Timo Bertram, Johannes Furnkranz, and Martin Muller, "Supervised and Reinforcement Learning from Observations in Reconnaissance Blind Chess," IEEE Conference on Games (IEEE CoG 2022). We welcome suggestions of missing papers by email at ReconBlindChess@jhuapl.edu!