Repo · Benchmarks & research
JevAny
Calibration-aware reinforcement learning for decision systems.
Open github.com ↗From the repository
Calibration-aware reinforcement learning for adaptive decision systems
decision-modeljevjev-aijev-modelreinforcement-learning
How builders describe it
Open training and deployment stack for System 1 decision models: one state-plus-question-plus-options API that returns a choice with probabilities for tickets, tools, or robot actions.
The decision Jev makes
Benchmark questions with known answers, to check accuracy and confidence.
Where it fits
Head-to-head tests, calibration studies and independent research into how well Jev decides, how fast, and at what cost. All 682 benchmarks & research projects →
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