links added; title changed
@@ -250,13 +250,13 @@ for GPU-based models, which prefer to process more examples at a time.
Tip: if you implement ``batch_act()``, your ``act()`` method can just call ``batchact()``
and pass the observation it is supposed to process in a list of length 1.
-Multiprocessed Data Loading
-~~~~~~~~~~~~~~
+Multiprocessed Pytorch Dataloader
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
For large datasets, where it is best to stream from disk during training
rather than load initially into memory, we provide a teacher that utilizes pytorch data loading
-(http://pytorch.org/tutorials/beginner/data_loading_tutorial.html).
+(as described `here <http://pytorch.org/tutorials/beginner/data_loading_tutorial.html>`_).
The teacher allows for multiprocessed dataloading, and even provides a way of
performing the same batch tricks described above (that is, sorting the data
and constructing batches of roughly equal size to avoid excess
padding), all in real time. You can find instructions on how to use the
-teacher at https://github.com/facebookresearch/ParlAI/blob/master/parlai/core/pytorch_data_teacher.py.
+teacher `here <https://github.com/facebookresearch/ParlAI/blob/master/parlai/core/pytorch_data_teacher.py>`_.
