DRSR: Learning Set-Level Deletion Risk for Efficient Long-Horizon Agents
Direct Relational Set-Risk Pruning is introduced, which formulates agent-history compression as risk-constrained selection over deletion sets and shows that decision-conditioned relations, retained-context information, pair interactions, and abstention each contribute to reliable pruning.
Ming-Xuan Wang, Bo Wang, Fei Luo et al.
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