Epoch

One complete pass through the entire training dataset. Training typically runs for many epochs (10–1000), with the model seeing each data point multiple times. In robot learning, the number of epochs depends on dataset size — large pre-training datasets may need only a few epochs, while small demonstration datasets require many epochs with heavy augmentation.