Module: tf_agents.utils.tensor_normalizer
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Tensor statistics and normalization.
Classes
class EMATensorNormalizer: TensorNormalizer with exponential moving avg. mean and var estimates.
class StreamingTensorNormalizer: Normalizes mean & variance based on full history of tensor values.
class TensorNormalizer: Encapsulates tensor normalization and owns normalization variables.
Functions
kahan_summation(...): Calculate stable acculated sum using compensation for low-bits.
parallel_variance_calculation(...): Calculate the sufficient statistics (average & second moment) of two sets.
Other Members |
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absolute_import
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Instance of __future__._Feature
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division
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print_function
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Instance of __future__._Feature
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Last updated 2024-04-26 UTC.
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