[WIP] AveragingEpisodesController #89
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…ments and return the median of the returns; TODO: implement this nicely in a controller subclass
* does not support recording of trajectories and raw reward histories * allows to accumulate and average reward histories by function that is passed via feedback_averaging_function * allows to prepare an environment for each repetition (e.g. seeding) to make results repeatable
| See base class "Controller" for details on usage. | ||
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| Additional Parameters | ||
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| Additional Parameters | ||
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| num_repetitions_to_average : int, optional (default: 10) |
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we usually try to use n_ as an abbreviation for number.
| if the environment is stochastic or specifically prepared via the | ||
| argument environment_preparation_function | ||
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| feedback_averaging_function : function, optional (default: median_of_sums) |
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It is a callback, not just a function. It also does not have to be a function, it can be any callable.
| Note that the number of feedbacks per rollout may vary. | ||
| See AveragingEpisodesController.median_of_sums (default) for an example | ||
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| environment_preparation_function : function, optional (default: None) |
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same applies here
| self.record_inputs = False | ||
| self.record_outputs = False | ||
| self.record_feedbacks = False | ||
| self.accumulate_feedbacks = False # see feedback_averaging_function |
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this comment does not really help
AlexanderFabisch
changed the title
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@maotto any progress? |
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added an AveragingEpisodesController