Joseph A. Walton crest

OR Insights · March 1, 2026

Explaining Policies in Sequential Decisions

Techniques for interpreting and communicating decisions made by reinforcement-learning agents.

A policy becomes more useful when its structure can be described. Threshold plots, state slices, action frequencies, and counterfactual tests help translate a large policy table into a decision rule that people can inspect.