iA Hexapawn 1.2.2

Hexapawn serves as a fundamental illustration of machine learning principles. The game utilizes pieces analogous to chess pawns, which can move forward one square or capture diagonally. The objective is to reach the opponent's back row, while victory can also be achieved if the opponent has no legal moves remaining, as the game does not permit draws. The system demonstrates the capacity to learn from its errors through self-adjustment, although its memory can be reset at any time. This feature provides an engaging challenge for players to test their skills, attempting to win multiple games before the machine attains an impervious level of play.