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update of api docstrings across coach and tutorials [WIP] (#91)
* updating the documentation website * adding the built docs * update of api docstrings across coach and tutorials 0-2 * added some missing api documentation * New Sphinx based documentation
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@@ -33,6 +33,19 @@ class CategoricalDQNNetworkParameters(DQNNetworkParameters):
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class CategoricalDQNAlgorithmParameters(DQNAlgorithmParameters):
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"""
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:param v_min: (float)
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The minimal value that will be represented in the network output for predicting the Q value.
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Corresponds to :math:`v_{min}` in the paper.
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:param v_max: (float)
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The maximum value that will be represented in the network output for predicting the Q value.
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Corresponds to :math:`v_{max}` in the paper.
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:param atoms: (int)
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The number of atoms that will be used to discretize the range between v_min and v_max.
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For the C51 algorithm described in the paper, the number of atoms is 51.
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"""
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def __init__(self):
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super().__init__()
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self.v_min = -10.0
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