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Commits on May 5, 2017

• -Bug fixed during collection of current V value.

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Commits on Apr 27, 2017

• Print final learning rate in configuration string, in case of LR decay.

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Commits on Apr 26, 2017

• -Small bug fix.

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• Random agent updated to new interface.

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• Facilitate decaying learning rate.

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• -Add a Random agent.

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Commits on Apr 21, 2017

• -Store summaries of the current reward and greedy epsilon, for later Tensorboard visualization.

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Commits on Apr 20, 2017

• -Allow configuration of the minimum number of training episodes.

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Commits on Apr 19, 2017

• Lower the figures resolution to prevent errors.

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• Write timestamp into config file.

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• Avoid stopping training if first rewards are too high.

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Commits on Apr 18, 2017

• Prevent KPIs from using up too much disk space.

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Commits on Apr 13, 2017

• Logging cleanup.

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• Code cleanup.

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• -Add options to save state embeddings, their labels and metadata.

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Commits on Apr 11, 2017

• Save KPIs progress throughout experiment.

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• Add option to save KPIs as numpy arrays (reward, loss, value functions, etc)

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Commits on Apr 10, 2017

• -Enable restoring variables from checkpoints.

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Commits on Apr 4, 2017

• Cleaner pyplot backend selection.

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Commits on Mar 27, 2017

• -Make some methods private.

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Commits on Mar 23, 2017

• Add a few progress properties to agent.

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Commits on Mar 17, 2017

• -Move most Experience Replay and RL functions into agents.

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• Add to the agent the Experience Replay parameters, plus some progress status variables.

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Commits on Mar 16, 2017

• Remove summaries path from agents, as it is unnecessary.

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• Added support for running multiple Tensorflow graphs (e.g. if multiple agents are instantiated).

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Commits on Mar 15, 2017

• Update README.md

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Commits on Mar 8, 2017

• Update README.md

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• Set theme jekyll-theme-tactile

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• Add some instructions.

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• Add an example main file.

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• -Change random seed between experiments.

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Commits on Mar 7, 2017

• -Stop exploring after reaching the desired performance.

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Commits on Mar 3, 2017

• -Code cleanup.

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• -Print clearer KPIs.

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Commits on Mar 2, 2017

• -Add support for Double DQN with Prioritized Experience Replay.

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