Reinforcement Learning, Deep Learning, Artificial Intelligence, Data Science.
constant and better intermediate feedback. For example, instead of giving rewards just when an object reaches a target, establish finer grain goals. For example, give rewards as the gripper gets closer to the ball. This gives more learning signals to help the training. But reshaping the reward