Researchreinforcement learningreward modelslong horizon
HISR Introduces Hindsight-Modulated Segmental Process Rewards
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A March 19, 2026 arXiv preprint proposes HISR, a method that uses hindsight information to modulate segmental process rewards for long-horizon agentic tasks. It trains a segment-level reward model and computes ratios of sequence likelihoods between a hindsight model and the policy to weight segment importance, improving credit assignment. Experiments on three public benchmarks demonstrate enhanced reward propagation and more reliable credit allocation.
Scoring Rationale
Novel segment-level hindsight weighting improves credit assignment, but it's a single arXiv preprint without peer review.
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