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https://github.com/facebookresearch/ReAgent.git
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Reviewed By: kaiwenw Differential Revision: D24765530 fbshipit-source-id: 196053173d748f380476647f3ac1219d40e1ea66
39 lines
1.1 KiB
Python
39 lines
1.1 KiB
Python
#!/usr/bin/env python3
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# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
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from .actor import (
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DirichletFullyConnectedActor,
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FullyConnectedActor,
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GaussianFullyConnectedActor,
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)
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from .base import ModelBase
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from .bcq import BatchConstrainedDQN
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from .categorical_dqn import CategoricalDQN
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from .containers import Sequential
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from .critic import FullyConnectedCritic
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from .dqn import FullyConnectedDQN
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from .dueling_q_network import DuelingQNetwork, ParametricDuelingQNetwork
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from .embedding_bag_concat import EmbeddingBagConcat
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from .fully_connected_network import FullyConnectedNetwork
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from .mlp_scorer import MLPScorer
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from .seq2reward_model import Seq2RewardNetwork
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__all__ = [
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"ModelBase",
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"Sequential",
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"FullyConnectedDQN",
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"DuelingQNetwork",
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"ParametricDuelingQNetwork",
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"BatchConstrainedDQN",
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"CategoricalDQN",
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"EmbeddingBagConcat",
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"FullyConnectedNetwork",
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"FullyConnectedCritic",
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"GaussianFullyConnectedActor",
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"DirichletFullyConnectedActor",
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"FullyConnectedActor",
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"MLPScorer",
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"Seq2RewardNetwork",
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]
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