like the best possible moves in a chess game?
the concepts in reinforcement learning (RL), is a little different from predictive modeling - im no expert here but afaik, you create an 'agent', and define 'rewards' and 'punishments', for e.g., the 'agent' gets a reward for taking an opponent piece, and a punishment for losing its own piece. the 'agent' will then test out millions of moves to figure out what actions/moves will lead to rewards and punishments and l