tutorials.examples.train_hypergrid_buffer
=========================================

.. py:module:: tutorials.examples.train_hypergrid_buffer

.. autoapi-nested-parse::

   Example script for training a GFlowNet using replay buffers.

   This script demonstrates two approaches for off-policy training:
   1. Trajectory buffer: Stores and samples entire trajectories for training.
   2. Terminating state buffer: Stores terminating states, from which backward trajectories are sampled.

   Both buffer types can be selected to improve training efficiency and diversity.



Attributes
----------

.. autoapisummary::

   tutorials.examples.train_hypergrid_buffer.parser


Functions
---------

.. autoapisummary::

   tutorials.examples.train_hypergrid_buffer.main


Module Contents
---------------

.. py:function:: main(args)

.. py:data:: parser