Deep Q-Learning uses Experience Replay to learn in small batches in order to avoid skewing the dataset distribution of different states, actions, rewards, and next_states that the neural network will see. Importantly, the agent doesn't need to train after each step.
python sample_keras.py
python sample_pytorch.py
