What came next
Over the years there was interest in continuing this work.
In 1999 Kumar Chellapilla and David Fogel cited NeuroDraughts in the first paper of the
work that became Blondie24. Between 2007 and 2015 a group at the Federal University of
Uberlândia in Brazil, beginning with Henrique Castro Neto and Rita Maria Silva Julia,
published a series of draughts players built on it. The first, LS-Draughts, had the
program breed its own sets of features, which the 1997 report had planned and I never
got to.
I had another go myself in 2006, starting
NeuroDraughts 2 on
SourceForge with Doug Rogers, and ported the original to Linux in 2008. In 2026 I came
back to it properly. The rebuild is the next page.
The list
The papers and pages that mention NeuroDraughts, oldest first.
| Year | Who | What |
|---|
| 1999 | Chellapilla and Fogel | Evolving neural networks to play checkers without relying on expert knowledge, IEEE Transactions on Neural Networks |
| 1999 | Chellapilla and Fogel | Co-evolving checkers-playing programs using only win, lose, or draw, SPIE |
| c. 2000 | Jay Scott | Machine Learning in Games: papers and software |
| 2004 | Ghory | Reinforcement learning in board games, University of Bristol |
| 2005 | Patist and Wiering | Learning to play draughts using temporal difference learning with neural networks and databases, Utrecht University |
| 2006 | Dubel and Lefakis | Reinforcement learning project: AI checkers player |
| 2007 | Neto and Julia | LS-Draughts: a draughts learning system based on genetic algorithms, neural network and temporal differences, IEEE Congress on Evolutionary Computation |
| 2007 | Neto | LS-Draughts, master's dissertation, Uberlândia (in Portuguese) |
| 2008 | Caixeta and Julia | A draughts learning system based on neural networks and temporal differences: the impact of an efficient tree-search algorithm, SBIA |
| 2008 | Caixeta | VisionDraughts, master's dissertation, Uberlândia (in Portuguese) |
| 2009 | Neto, Julia and Caixeta | LS-Draughts: using databases to treat endgame loops in a hybrid evolutionary learning system, in Theory and Novel Applications of Machine Learning |
| 2009 | Caixeta and Julia | Improvement obtained by ordering the tree-search of an agent for draughts, CLEI |
| 2009 | Duarte, Julia, Barcelos and Otsuka | MP-Draughts: a multiagent reinforcement learning system based on MLP and Kohonen-SOM neural networks, IEEE SMC |
| 2011 | Barcelos, Julia and Matias | D-VisionDraughts: a draughts player neural network that learns by reinforcement in a high performance environment, ESANN |
| 2013 | Tomaz, Julia and Barcelos | Improving the accomplishment of a neural network based agent for draughts that operates in a distributed learning environment, IEEE IRI |
| 2013 | Uberlândia | D-MA-Draughts, master's dissertation (in Portuguese) |
| 2014 | Neto, Julia, Caexeta and Barcelos | LS-VisionDraughts: improving the performance of an agent for checkers, Applied Intelligence |
| 2015 | Duarte, Julia, Albertini and Neto | MP-Draughts: unsupervised learning multi-agent system based on MLP and adaptive neural networks, IEEE ICTAI |
| 2015 | Neto, Julia and Duarte | Improving the accuracy of the cases in the automatic case elicitation-based hybrid agents for checkers, IEEE ICTAI |
| 2015 | Neto and Julia | ACE-RL-Checkers: improving automatic case elicitation through knowledge obtained by reinforcement learning in player agents, IEEE CIG |
| 2020 | Duarte, Lau, Pereira and Reis | A survey of planning and learning in games, Applied Sciences |