Reinforcement Learning, Deep Learning, Artificial Intelligence, Data Science.
Learning rate schedule (how the learning rate is decayed over time). Exploration schedule (e.g. the ε in the ε-greedy method). Start with high exploration and reduce it gradually. Q-learning will need more patience compared with Policy Gradient methods. DQN converges slowly with a very long warmup