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It is non-trivial to design engaging and balanced sets of game rules.
The History of Chess
Murray, H. J. R · 1913
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Het Denken van den Schaker. (Thought and Choice in Chess)
de Groot, A. D · 1946
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Digital computers applied to games
Turing, A · 1953
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Chess Variations: Ancient, Regional and Modern
Gollon, J · 1968
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The Classified Encyclopedia of Chess Variants
Pritchard, D. B · 1994
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What can we expect from a new chess variant?
Beasly, J · 1998
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The evaluation of material imbalances
Kaufman, L · 1999
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A metric for entertainment of boardgames: Its implication for evolution of chess variants
Iida, H., Takeshita, N., and Yoshimura, J · 2003
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Information theory, inference and learning algorithms
MacKay, D. J. C · 2003
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Automatic computer game balancing: A reinforcement learning approach
Andrade, G., Ramalho, G., Santana, H., and Corruble, V · 2005
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Chess Fundamentals: Completely Revised and Updated for the 21st Century
Capablanca, J. and de Firmian, N · 2006
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Refinement and complexity in the evolution of chess
Cincotti, A., Iida, H., and Yoshimura, J · 2007
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Using coevolution to understand and validate game balance in continuous games
Leigh, R., Schonfeld, J., and Louis, S. J · 2008
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Evaluating competitive game balance with restricted play
Jaffe, A., Miller, A., Andersen, E., Liu, Y.-E., Karlin, A., and Popović, Z · 2012
Cited alongside, same era.
Evolutionary search in the space of rules for creation of new two-player board games
Halim, Z., Baig, A. R., and Zafar, K · 2014
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
Silver, D., Hubert, T., Schrittwieser, J., Antonoglou, I., Lai, M., Guez, A., Lanctot, M., Sifre, L., Kumaran, D., Graepel, T., Lillicrap, T., Simonyan, K., and Hassabis, D · 2018
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Learning to play the chess variant crazyhouse above world champion level with deep neural networks and human data, 2019
Czech, J., Willig, M., Beyer, A., Kersting, K., and Fürnkranz, J · 2019
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Kramnik And AlphaZero: How To Rethink Chess
Kramnik, V · 2019
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Game Changer: AlphaZero’s Groundbreaking Chess Strategies and the Promise of AI
Sadler, M. and Regan, N · 2019
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Mastering atari, Go, chess and shogi by planning with a learned model, 2019
Schrittwieser, J., Antonoglou, I., Hubert, T., Simonyan, K., Sifre, L., Schmitt, S., Guez, A., Lockhart, E., Hassabis, D., Graepel, T., Lillicrap, T., and Silver, D · 2019
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AI-based playtesting of contemporary board games
de Mesentier Silva, F., Lee, S., Togelius, J., and Nealen, A · 2017
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Balancing two-player stochastic games with soft Q-learning
Grau-Moya, J., Leibfried, F., and Bou-Ammar, H · 2018
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Leela Chess Zero
Lc0 · 2018
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Wikipedia · 2019
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Global optimization of quantum dynamics with AlphaZero deep exploration
Dalgaard, M., Felix Motzoi, J. J. S., and Sherson, J · 2020
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First ever “no-castling” tournament results in 89% decisive games!
Shah, S · 2020
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