imitation#

imitation: implementations of imitation and reward learning algorithms.

Modules

imitation.algorithms

Implementations of imitation and reward learning algorithms.

imitation.data

Modules handling environment data.

imitation.policies

Classes defining policies and methods to manipulate them (e.g.

imitation.regularization

Implements a variety of regularization techniques for NN weights.

imitation.rewards

Reward models: neural network modules, serialization, preprocessing, etc.

imitation.scripts

Command-line scripts.

imitation.testing

Helper methods for unit tests.

imitation.util

General utility functions: e.g.