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Commits on Jun 5, 2020

• Policies supporting variable number of actions via a new feature key.

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  bartokg

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Commits on Jun 4, 2020

• Extend the regret metric to work with nested rewards.

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  efiko

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• Stationary per-arm environment supporting variable number of actions via a new feature key.

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  bartokg

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• Fix the SparseObs test in NeuralLinUCB policy.

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  efiko

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• Add support for distributed training of the NeuralLinUCB agent.

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  efiko

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Commits on Jun 3, 2020

• [TF-Agents] network.create_variables() supports Keras layers.

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  ebrevdo

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• Have TFPyEnvironment.close() also close() the wrapped py environment.

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  TF-Agents Team

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• [TF-Agents] network.create_variables now returns unbatched output specs.

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  ebrevdo

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• Fixing types issue for python2.

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  TF-Agents Team

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• Fix the RandomTFPolicy's calculation of log_probability.

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  TF-Agents Team

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• Merge pull request #391 from dcharrezt:bellman_eq

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• Update sequential_layer get_config to return a dict.

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  Oscar Ramirez

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• Release 0.5.0 and move nightly to 0.6.0.

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  tfboyd

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• Make PolicySaver save policy specs into a tempfile, then rename it.

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  ormandi

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Commits on Jun 2, 2020

• Adding BatchedPyPolicy to allow for wrapping an unbatched Python Policy into a batched one.

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  TF-Agents Team

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• Internal change.

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  ormandi

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• Populate predicted_rewards_sampled in the policy info for NeuralLinUCB.

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  bartokg

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• Populate predicted_rewards_sampled in the policy info for NeuralLinUCB.

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  bartokg

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• Populate predicted_rewards_sampled in the policy info for NeuralLinUCB.

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  bartokg

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• Run app-get update before anything gets installed.

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  tfboyd

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Commits on Jun 1, 2020

• [TF-Agents] Propagate {set,get}_state through py env wrappers & gym wrappers.

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  ebrevdo

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• bellman equation displayed as Latex issue #374

  dcharrezt

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• Add an option to enable jpeg image compression for example_encoding

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  TF-Agents Team

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• Import the correct version of ForwardRef based on Py version

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  kbanoop

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Commits on May 29, 2020

• Add typing to environments

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  kbanoop

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• Use tf-agents-nightly as default which is what we want tested at head.

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  tfboyd

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Commits on May 28, 2020

• Add PyTypes to policies

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  kbanoop

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• Update the TFPyEnvironment to support rewards with a nested structure.

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  efiko

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• Add typing to Agents

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  kbanoop

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Commits on May 27, 2020

• Ensure summaries are written even when train_step is 0.

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  sguada

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• Specs can be either bounded or unbounded, using tensor_spec.from_spec to allow for either.

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  TF-Agents Team

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• Merge pull request #381 from leroidauphin:issue-342

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• Update the StationaryStochasticPyEnvironment to produce structured rewards that are composed of 'reward' and 'constraint' parts.

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  efiko

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Commits on May 26, 2020

• Update PPO Agent to support training experiences with sequence length 1.

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  summer-yue

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• Import the correct version of ForwardRef based on Py version.

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  kbanoop

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