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Implemented a naive prober strategy (like tit for tat, but randomly defects). #629

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merged 3 commits into from
Jun 13, 2016

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314pe
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@314pe 314pe commented Jun 11, 2016

Implemented as randomly defecting strategy for #379 (with a relatively small probability) which was decorated with Tit For Tat style defection using RetaliateUntilApologyTransformer. At first, I wanted to start with a Tit For Tat and decorate that with a random flip transformer, but that would flip some Ds to Cs. Is this good or maybe if I could add some better tests, it would be visible how this strategy is inaccurate?

@marcharper
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This one looks good to me. I'll give @drvinceknight a chance to take a look since some of the commits are mine. Thanks @314pe !

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This looks great! Thanks @314pe :)

@drvinceknight drvinceknight merged commit 26ed2fb into Axelrod-Python:master Jun 13, 2016
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4 participants