8000 Added support for stopping by max episodes instead of max steps. by michalgregor · Pull Request #267 · keras-rl/keras-rl · GitHub
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Added support for stopping by max episodes instead of max steps. #267

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michalgregor
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  • Added an additional argument to fit in core.py, which allows stopping
    by the number of episodes.
  • Arguments nb_steps and nb_max_episode_steps are both optional now, but
    at least one must be specified, otherwise an exception is raised.
  • Documentation of the relevant methods has been updated to reflect the
    new behaviour.
  • TrainEpisodeLogger and TrainIntervalLogger have been updated.
  • A minor fix to TrainIntervalLogger, which makes it print the statistics
    about any extant episodes even if the last logging interval ended
    prematurely.

* Added an additional argument to fit in core.py, which allows stopping
  by the number of episodes.
* Arguments nb_steps and nb_max_episode_steps are both optional now, but
  at least one must be specified, otherwise an exception is raised.
* Documentation of the relevant methods has been updated to reflect the
  new behaviour.
* TrainEpisodeLogger and TrainIntervalLogger have been updated.
* A minor fix to TrainIntervalLogger, which makes it print the statistics
  about any extant episodes even if the last logging interval ended
  prematurely.
@mirraaj
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mirraaj commented Nov 8, 2018

@michalgregor , I will be looking into your implementation coming weekend. Thanks

@mirraaj mirraaj self-requested a review November 8, 2018 16:27
@CameronBeebe
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This is still not implemented, any updates?

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