Name | Modified | Size | Downloads / Week |
---|---|---|---|
Parent folder | |||
opening_moves_O_before.txt | 2011-08-09 | 60 Bytes | |
opening_moves_O_desired.txt | 2011-08-09 | 253 Bytes | |
OffensiveX.txt | 2011-08-09 | 687 Bytes | |
OffensiveXDesired.txt | 2011-08-09 | 2.6 kB | |
OffensiveODesired.txt | 2011-08-09 | 2.7 kB | |
DefensiveXDesired.txt | 2011-08-09 | 2.1 kB | |
OffensiveO.txt | 2011-08-09 | 706 Bytes | |
DefensiveODesired.txt | 2011-08-09 | 2.0 kB | |
DefensiveX.txt | 2011-08-09 | 842 Bytes | |
DefensiveO.txt | 2011-08-09 | 813 Bytes | |
correct_patternsX.txt | 2011-08-09 | 4.9 kB | |
correct_patternsO.txt | 2011-08-09 | 4.9 kB | |
before_correct_patterns.txt | 2011-08-09 | 8.1 kB | |
Totals: 13 Items | 30.6 kB | 0 |
This file contains background information on the tictactoenn repository. The files contained within the repository are: (1) code for an artificial neural network that uses error backpropagation with the intent of playing a 5x5x5 game of tic-tac-toe, (2) a training program for the artificial neural network, (3) training exemplars for the artificial neural network, (4) code of an opponent making random moves, (5) a datafile for the neural network's weights, and (6) code for the 5x5x5 tic-tac-toe game implementation. Shahzeb Siddiqui and Francis Mutuc are the creators of the artificial neural network agent used to play this 5x5x5 game of tic-tac-toe. Any usage of any of this code should be given proper credit to its creators.