Reinforcement Learning, Gaming, Deep Learning.
agent’s goal is to move an object to a specific location. The agent starts by randomly exploring the action space. It tries different angles and forces, and observes the results. The agent receives a reward for moving the object closer to the goal location, and a penalty for moving the object