:py:mod:`rofunc.learning.RofuncRL.processors.normalizers`
=========================================================

.. py:module:: rofunc.learning.RofuncRL.processors.normalizers

.. autodoc2-docstring:: rofunc.learning.RofuncRL.processors.normalizers
   :allowtitles:

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

Classes
~~~~~~~

.. list-table::
   :class: autosummary longtable
   :align: left

   * - :py:obj:`RunningMeanStd <rofunc.learning.RofuncRL.processors.normalizers.RunningMeanStd>`
     - .. autodoc2-docstring:: rofunc.learning.RofuncRL.processors.normalizers.RunningMeanStd
          :summary:
   * - :py:obj:`Normalization <rofunc.learning.RofuncRL.processors.normalizers.Normalization>`
     - .. autodoc2-docstring:: rofunc.learning.RofuncRL.processors.normalizers.Normalization
          :summary:
   * - :py:obj:`RewardScaling <rofunc.learning.RofuncRL.processors.normalizers.RewardScaling>`
     - .. autodoc2-docstring:: rofunc.learning.RofuncRL.processors.normalizers.RewardScaling
          :summary:

API
~~~

.. py:class:: RunningMeanStd(shape, device)
   :canonical: rofunc.learning.RofuncRL.processors.normalizers.RunningMeanStd

   .. autodoc2-docstring:: rofunc.learning.RofuncRL.processors.normalizers.RunningMeanStd

   .. rubric:: Initialization

   .. autodoc2-docstring:: rofunc.learning.RofuncRL.processors.normalizers.RunningMeanStd.__init__

   .. py:method:: train(x)
      :canonical: rofunc.learning.RofuncRL.processors.normalizers.RunningMeanStd.train

      .. autodoc2-docstring:: rofunc.learning.RofuncRL.processors.normalizers.RunningMeanStd.train

.. py:class:: Normalization(shape, device)
   :canonical: rofunc.learning.RofuncRL.processors.normalizers.Normalization

   .. autodoc2-docstring:: rofunc.learning.RofuncRL.processors.normalizers.Normalization

   .. rubric:: Initialization

   .. autodoc2-docstring:: rofunc.learning.RofuncRL.processors.normalizers.Normalization.__init__

.. py:class:: RewardScaling(shape, gamma, device)
   :canonical: rofunc.learning.RofuncRL.processors.normalizers.RewardScaling

   .. autodoc2-docstring:: rofunc.learning.RofuncRL.processors.normalizers.RewardScaling

   .. rubric:: Initialization

   .. autodoc2-docstring:: rofunc.learning.RofuncRL.processors.normalizers.RewardScaling.__init__

   .. py:method:: reset()
      :canonical: rofunc.learning.RofuncRL.processors.normalizers.RewardScaling.reset

      .. autodoc2-docstring:: rofunc.learning.RofuncRL.processors.normalizers.RewardScaling.reset