Reward shaping for planner objectives

A deployable approach must explain what it optimizes, what it leaves uncertain and when it should defer. Those questions guide this brief on reward shaping for planner objectives.

Practitioner lens

The strongest evaluation of reward shaping for planner objectives compares decision quality with a transparent baseline, preserves time ordering and reports how performance varies by scenario.

First experiment

Separate model-generated proposals from approved actions; preserve a safe fallback when inputs are missing.

This is an original educational brief. It is a starting point for discussion, not a claim that one technique fits every supply chain.