From Risk Scoring to Risk Allocation: A Density-Driven Framework for Diverse Monitoring in Multi-Agent Systems

arXiv:2609.26146 · cs.LG, cs.MA · Submitted 2026-08-08 · Read on arXiv

cs.LG, cs.MA

Submitted: 2026-08-08

Updated: 2026-08-08

Comments: 13 pages, 7 figures. Accepted at the ICML 2026 Workshop on New Frontiers in Game-Theoretic Learning (NExT-Game)

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Multi-Agent System — 10× in this paper · explained in 6 episodes
• AUROC — 9× in this paper · explained in 2 episodes
• QUBO Formulation — 7× in this paper · explained in 3 episodes
• Generalization — 4× in this paper · explained in 13 episodes
• Simulated Annealing — 4× in this paper
• Failure Modes — 3× in this paper · explained in 3 episodes
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• Abstraction — 2× in this paper · explained in 1 episode
• Combinatorial Optimization — 2× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Core — 2× in this paper · explained in 2 episodes
• Feature Selection — 2× in this paper · explained in 4 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 4 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• A Quantum Approximate Optimization Algorithm

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