 win, loss or draw, is the only thing that really matters, but not every move directly causes it: often a single blunder decides a chess game. The result is also just one data point, so multiplying it out to each move creates thinly stretched information and strong correlation, which can be detrimental statistically. Additionally, it is computationally expensive to play a full game of chess in order to gather just one game result. Reinforcement methods instead often <em>decay</em> attribution by weighting t