Reinforcement Learning, Deep Learning, Artificial Intelligence, Data Science.
do not generalize well. Bigger is not necessarily better We cannot blindly increase the capacity of the deep network because it risks overfitting. Solutions in handling overfitting and exploding gradient problems in DL may not be applicable in RL. Model-based RL takes fewer samples to train and is