imitation#
imitation: implementations of imitation and reward learning algorithms.
Modules
Implementations of imitation and reward learning algorithms. |
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Modules handling environment data. |
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Classes defining policies and methods to manipulate them (e.g. |
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Implements a variety of regularization techniques for NN weights. |
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Reward models: neural network modules, serialization, preprocessing, etc. |
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Command-line scripts. |
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Helper methods for unit tests. |
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General utility functions: e.g. |