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Author:
Denis Drobyshev
License:
MIT
Summary:
A proving ground for operational decisions: an agent is scored against the tuned classical method and the exact optimum, with a confidence interval.
Latest version:
0.1.0
Required dependencies:
decisionrl
|
numpy
Optional dependencies:
glia-agents
|
hypothesis
|
mypy
|
pytest
|
pytest-cov
|
ruff
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