Reinforcement Learning, Deep Learning, Artificial Intelligence, Data Science.
to avoid overfitting the data. For RL, we need to think at a higher level. First, we need to train the system with many scenarios. For example, to train a droid to fly indoors, we should create as many rooms and furniture configurations as possible. To maximize such scenarios, we may need to create