Reinforcement Learning for Calibrated Decisions (RLCD)
What is a Calibrated Decision? Under my definition, calibration is the search for errors in measurement. And a separate decision rule is applied to that measurement.
I see little rigor and precision in the thinking and description around what this model does, much of what I see looks like slop these days...
What is a Calibrated Decision? Under my definition, calibration is the search for errors in measurement. And a separate decision rule is applied to that measurement.
I see little rigor and precision in the thinking and description around what this model does, much of what I see looks like slop these days...