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#79 Refactor documentation
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pytorch\_trainer
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================
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.. automodule:: pytorch_trainer
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:members: worker
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.. autoclass:: PyTorchTrainerConfig
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.. autoclass:: PyTorchTrainer
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:members: __init__, avg_rewards, avg_distortion, actions_before_training, actions_before_episode_begins, actions_after_episode_ends, train, actions_after_training
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docs/source/modules.rst

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.. toctree::
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:maxdepth: 4
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API/epsilon_greedy_policy
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API/epsilon_greedy_q_estimator
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API/q_learning
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API/trainer
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API/algorithms/epsilon_greedy_q_estimator
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API/algorithms/a2c
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API/algorithms/q_learning
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API/trainers/trainer
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API/trainers/pytorch_trainer
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API/datasets/column_type
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API/exceptions/exceptions
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API/maths/optimizer_type
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API/maths/pytorch_optimizer_builder
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API/networks/a2c_networks
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API/policies/epsilon_greedy_policy
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API/spaces/actions
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API/spaces/action_space
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API/spaces/state
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API/spaces/discrete_state_environment
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API/spaces/tiled_environment
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API/spaces/time_step
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API/replay_buffer
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API/a2c
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