Monday, Wednesday, Friday, Sunday, 1 hour Go (Baduk 19x19 and 13x13 and Mancala/Backgammon) morning and evening
Tuesday, Thursday, Saturday, 1 Hour of Chess, Xjianggqi, Shogi, Draughts/Checkers morning and evening
However the self-learning algorithm will not divide by time but by number of games. It will play an equal number of games between Chess, Xjianggqi, Shogi and Draughts/Checkers and then play that same total amount of games of 19x19 baduk, 13x13 baduk, and Backgammon/Mancala split between them in the proportion 361:169:191.5. Their are 1296 different starting positions for Xjianggqi that it will cycle through evenly, while all the variants of Draughts/Checkers and Mancala/Backgammon would have to be cycled through. When they all reach their nearest common factor, that would count as a set, although it's not important because the self-learning algorithm updates continuously every game. Although the concept of me trying to program something like this is laughable,
Maybe the more time you spend on the game playing or replaying or reviewing, the less time you should spend time-reverse reviewing, and the less time you spend on a game playing or replaying or reviewing, the more time you should spend time-reverse reviewing>