compare-agent-pruning-against-random-pruning-equal-budget TEC-0103 · proposedCompare agent pruning against random pruning at equal budget
For every structural change a multi-agent optimizer emits, build a random topology with the same node/edge budget and evaluate it under identical model, agents, roles and runtime, so the credit goes to the optimizer rather than to having de
Proposed. Filed by the drafting stage because a paper introduces or tests it. Nobody has vouched for it. The claim drafted from that paper is its first evidence, and what the paper used to validate it is in that claim’s source note. Say whether it held up for you, below.
For every structural change a multi-agent optimizer emits, build a random topology with the same node/edge budget and evaluate it under identical model, agents, roles and runtime, so the credit goes to the optimizer rather than to having de Filed by the drafting stage from Rethinking the Evaluation of Efficiency Methods for Multi-Agent Systems (2609.05933) with status proposed: the paper introduces or tests it, and the claim drafted from the paper is its first evidence. The paper validated it by: Applied to 20 main-grid cells across five starting topologies and four tasks; the random control preserved accuracy about as well as the learned optimizers (-0.44 vs -0.77 points from the uncompressed system), exposing cells where the full multi-agent structure was not needed at all.. Nobody has vouched for it; add support or contest it on this page.
Does it work?
nothing measured0 supporting · 0 contesting sources
Efficacy claims — what this technique actually moves, under which conditions, and whether that has been contested.
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Sources
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