Temperoal Difference - Reinforcement Learning
A paper about my implementation of the reinforcement TD learning algorithm. This is a very dynamic algorithm because it reuses its inputs to make deeper inferences of future inputs to predict output. Compared to a supervised algorithm, this algorithm has more flexibility using its lambda parameter which sets a level of expectation from its previous iterations. Truly an amazing algorithm.