Reinforcement Learning, Deep Learning, Artificial Intelligence, Data Science.
destabilizes training so we use large batch sizes to smooth out the variance. Increasing the batch size if there is no progress in learning. The batch size is 100K for TRPO on Atari games. Source For DQN on Atari, the update frequency between the current and target network is 10K and the replay