Reinforcement Learning, Deep Learning, Artificial Intelligence, Data Science.
know things better. RL is nowhere close to being i.i.d. This is a nightmare and creates a few significant challenges for RL: The batch normalization and the dropout method may not work for RL. It is hard to adjust the learning rate for proper convergence. Hence, we need more advanced optimizers