Beyond Temporal Proximity: Explanatory World Models for Credit Assignment in Reinforcement Learning.
arXiv:2610.13504v1 Announce Type: cross Abstract: Generative Recommenders increasingly use Reinforcement Learning (RL) to optimize outcomes that may appear hundreds or thousands of interactions after a decision. Standard RL propagates reward according to tempo
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