Reinforcement Learning, Deep Learning, Artificial Intelligence, Data Science.
minimum. In specific for the RL, For new models and algorithms, pick simple toy experiment(s) for early development. Simplify the problem first so we can run experiments easily and fast. Patience with hyperparameter tuning. RL is very sensitive to hyperparameters (worse than DL). Try different