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Commits on Aug 7, 2019

• [TF Agents] Clean up some DQN Agent unit test code.

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Commits on Aug 6, 2019

• [TFA] Support for tf.SparseTensor in some of the nest utils.

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• Modified TFAgent base class train and _train methods docstrings

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Commits on Aug 5, 2019

• Some docstring updates in the TFUniformReplayBuffer.

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• Extended comment explaining default value of target_entropy in the SAC agent.

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• Don't skip embedding in Eager mode test, as we enforce DenseFeatures V2 now.

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Commits on Aug 2, 2019

• Remove use of TRAIN_OP collection

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Commits on Aug 1, 2019

• Use list of tuples instead of dict in tf.case

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• grant name to input_param_spec for output_spec in {categorical|normal}_projection_network

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Commits on Jul 31, 2019

• Enforce V2 DenseFeatures V2 when used a preprocessing_combiner in EncordingNetwork.

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• Merge pull request tensorflow#172 from seungjaeryanlee:feat/remove-duplicate-loss-fn

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• Export agent policy as TF SavedModel for Atari using policy saver.

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• Update docs.

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Commits on Jul 30, 2019

• Internal change.

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• Watch only trainable variables in SAC

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• Add trainable_variables to network base class

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Commits on Jul 29, 2019

• 1. extend ActorDistributionRnnNetwork to handle complex observations with preprocessing_layer and preprocessing_combiner

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• Allow specifying full Atari environment name.

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• Add behavioral_cloning and categorical_dqn to agents/__init__.py. Also fixed Python 3 and TF2 issues in categorical_dqn_agent.

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• Fix SAC alpha variable exists check.

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Commits on Jul 28, 2019

• Use loss functions defined in common module

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Commits on Jul 26, 2019

• Update Average tf_metrics to a TF implementation. Speeds up train_eval by ~10%.

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• Merge pull request tensorflow#174 from pana1990:add-idea-files-to-gitignore

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Commits on Jul 25, 2019

• 1. extend ValueRnnNetwork to handle complex observations with preprocessing_layer and preprocessing_combiner

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• Merge pull request tensorflow#166 from emailweixu:stable_tanh

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• add idea files to gitignore

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Commits on Jul 24, 2019

• extend ActorDistributionNetwork to handle complex observations with preprocessing_layer and preprocessing_combiner

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• extend ValueNetwork to handle complex observations with preprocessing_layer and preprocessing_combiner

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• Prevent Keras from tracking kwarg layers in Networks.

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• Use loss functions defined in utils

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Commits on Jul 23, 2019

• Allow empty EncodingNetwork that only flattens observation.

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• Merge pull request tensorflow#118 from ageron:cv2_to_tf

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Commits on Jul 22, 2019

• Internal change.

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  Oscar Ramirez

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• Fix flag use.

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• Separate train and eval environments for ddpg and sac.

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