Evidence record 12271 · automatically gathered

Counterfactual Shapley Credit Assignment

The Credit Assignment Problem (CAP) is fundamental to developing efficient and explainable Reinforcement Learning (RL) agents. Existing frameworks, whether relying on temporal contiguity or hindsight-conditioned reward reweighting, frequently fail to attribute properly between an agent's policy (skill) and environmental stochasticity (luck). A principled approach to CAP must isolate the true causal drivers of observed outcomes from spurious correlations and environmental randomness. We introduce

Record details

Published: 18 July 2026
Source: arXiv cs.LG
Category: Research
Topics: Regulation · Agents & autonomy · Transparency · Environment
Retrieved: 21 July 2026

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ethics.ai (18 July 2026), “Counterfactual Shapley Credit Assignment,” evidence record 12271, https://ethics.ai/record/12271 (originally published by arXiv cs.LG).

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