Delayed reward information is underweighted in reinforcement learning with dispersed feedback
Cotet M; Poensgen D; Krajbich I · 2026 · Preprint
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Learning is fundamental to adaptive behavior. In the typical learning task, each action is associated with only one outcome, which could be immediate or delayed. However, actions often have multiple consequences that unfold over time.…
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Metadata source: Europe PMC · DOI 10.31234/osf.io/eyjmg_v1