Back to search

Article

The unique value of zero prediction errors in reinforcement learning

2026-07-14

Abstract excerpt

Updating beliefs when necessary is at the cornerstone of learning. A fundamental problem is to describe under which conditions humans update their internal models of the world. The general assumption across animal, human, and artificial learning models 1–3 has been that updates occur when outcomes deviate from expectations. Perfectly predicted outcomes cause no learning. As a result, no research has examined case...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
9a2c4611-0a3c-5ffb-8fe3-fa0789a6d95c
DOI
10.64898/2026.07.13.738284
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
The unique value of zero prediction errors in reinforcement learningDOI 10.64898/2026.07.13.738284
Select a neighboring publication to make it the new centre.