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We need to include something similar to the setup in memory one strategies that overwrite the stochastic classifier upon initialisation:
>>> p1 = axl.Random(0) >>> p2 = axl.Random(1) >>> p1.classifier['stochastic'], p2.classifier['stochastic'] (True, True)
Mildly connected to #779 (found it whilst working on that).
The text was updated successfully, but these errors were encountered:
Reclassify Random player if p is 0 or 1
b36f274
- Add a test for stochastic classification of Random Closes #781
Good catch
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We need to include something similar to the setup in memory one strategies that overwrite the stochastic classifier upon initialisation:
Mildly connected to #779 (found it whilst working on that).
The text was updated successfully, but these errors were encountered: