Signals 4 · free daily AI digest

Parallel AI Agent Collaboration as Graph-Structured Distributed Block Optimization

Paper recorded by Signals 4 on 2026-10-21 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-21 on arXiv · recorded by Signals 4 on 2026-10-22

Category: cs.AI · 人工智能 · first seen 2026-10-22

Abstract

Parallel AI agents can produce useful local edits yet degrade a shared solution when their edits are combined. We model this coordination problem as discrete block optimization with an exactly evaluable objective and a known dependency graph. Independent sets certify compatible edits whose verified gains, measured against the same current solution, add exactly. A coordinator constructs a safe comp

Read on arXiv →

#211 most recent of 960 cs.AI papers we have recorded · ↑ newer: AtomicRL: Atomic Reinforcement Learning for Long-Horizon Robotic Manip · ↓ older: Charts as Epistemic Actions for Experience-Driven Agentic Data Analysi

Cite this page: Parallel AI Agent Collaboration as Graph-Structured Distributed Block Optimization: the #211 most recent of 960 cs.AI papers we have recorded (as of 2026-10-21). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/parallel-ai-agent-collaboration-as-graph-structured-distributed-block-optimizati.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json

Related: More cs.AI papers · arXiv signals · All papers · Today in AI

Get 4 AI signals a day by email — free.

Subscribe free → See all plans →

Get 4 AI signals a day by email — free

All models · All repos · By company · Daily editions