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Commits on Dec 19, 2019

• update gitignore

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• remove txt files

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• update gitignore

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• updating library code for ns3-gym compatibility

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Commits on Dec 18, 2019

• 0.3.0 release and new release section.

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Commits on Dec 17, 2019

• Next release will be 0.4.x. Moves nightly to 0.4.0 dev

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• as_numpy_dtype is a property, not a method.

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  TF-Agents Team

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Commits on Dec 16, 2019

• Announce 0.3.0rc0 release.

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Commits on Dec 13, 2019

• Call create_variables() on the networks used in __init__() in bandit agents/policies. Fix tests.

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  TF-Agents Team

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• Internal change

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  efiko

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• Enables a heteroscedastic likelihood model to be used for the reward prediction network for any instance of a GreedyRewardPredictionAgent. Under the heteroscedastic model the agent predicts both th…

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• Internal change.

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Commits on Dec 12, 2019

• Bugfix: Pass training=True to networks and layers when training consistently.

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  ebrevdo

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Commits on Dec 11, 2019

• Merge pull request #232 from Haichao-Zhang:typo_fix

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Commits on Dec 9, 2019

• Make NeuralLinUCBAgent not own the variables.

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  bartokg

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• Make Linear Bandit agents not own the variables.

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  bartokg

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Commits on Dec 7, 2019

• Resolves issue of __rel_version__ having an extra dot, e.g. `0.3.0.`.

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  tfboyd

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Commits on Dec 6, 2019

• Add -y option to apt-get install command to avoid hanging

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  tfboyd

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• Remove flaky test in categorical policy test.

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  bartokg

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• Fix bandit examples test.

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  tfboyd

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• Merge pull request #252 from mhe500:fix_eps_greedy_where

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Commits on Dec 5, 2019

• __init__.py fixes examples failing.

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  tfboyd

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• Make actor_distribution_network_test more robust with dropout

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• Adds try except to %%time magic to enable pure jupyter execution.

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  tfboyd

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• Expose the predicted rewards in Neural LinUCB.

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Commits on Dec 3, 2019

• Add transition observers to py_driver.

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  Oscar Ramirez

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• Add ability to specify num_steps_per_batch to generate accurate number of examples/sec.

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  Oscar Ramirez

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• Removed default kwargs in base replay_buffer private abstract methods as they are always called with explicit values.

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  Oscar Ramirez

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Commits on Nov 29, 2019

• Update train-eval examples to reflect the unified linear agents structure.

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  bartokg

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• Unifying the implementation of LinUCB and LinTS.

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  bartokg

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Commits on Nov 28, 2019

• Docstring for helper function and some cleanup per PEP8.

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Commits on Nov 26, 2019

• Error out if shared vars between target and live network even if user specified.

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  TF-Agents Team

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• Adds gin configurability to collection policies. This allows the user to define the collection policy in a gin file.

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  TF-Agents Team

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• Added leading underscore to method name.

  mhe500

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• Changed lambda to separate function for clarity per suggestion.

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