A Draughts Learning System Based on Neural Networks and Temporal Differences: The Impact of an Efficient Tree-Search Algorithm
- Gutierrez Soares Caexeta, Rita Maria Silva Julia
- Computer ScienceBrazilian Symposium on Artificial Intelligence
- 26 October 2008
New and very successful results obtained by substituting an efficient tree-search module based on alpha-beta pruning, transposition table and iterative deepening for the minimax algorithm in NeuroDraughts are presented.
LS-VisionDraughts: improving the performance of an agent for checkers by integrating computational intelligence, reinforcement learning and a powerful search method
- H. C. Neto, Rita Maria Silva Julia, Gutierrez Soares Caexeta, Ayres Roberto Araújo Barcelos
- Computer ScienceApplied intelligence (Boston)
- 1 September 2014
LS-VisionDraughts is an efficient unsupervised evolutionary learning system for Checkers whose contribution is to automate the process of selecting an appropriate representation for the board states – by means of Evolutionary Computation – keeping a deep look-ahead at the moment of choosing an adequate move.
LS-VisionDraughts: improving the performance of an agent for checkers by integrating computational intelligence, reinforcement learning and a powerful search method
- H. C. Neto, Rita Maria Silva Julia, Gutierrez Soares Caexeta, Ayres Roberto Araújo Barcelos
- Computer ScienceApplied intelligence (Boston)
- 24 April 2014
LS-VisionDraughts is an efficient unsupervised evolutionary learning system for Checkers whose contribution is to automate the process of selecting an appropriate representation for the board states – by means of Evolutionary Computation – keeping a deep look-ahead at the moment of choosing an adequate move.