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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