Author

Oren Gal

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Preprint Sep 2026

MATES: Learning Multi-Agent Interactions by Transforming Observations for Frozen Single-Agent Policies

Multi-agent reinforcement learning (MARL) commonly trains decentralized policies from scratch, requiring agents to acquire individual task competence and coordination simultaneously. Yet many multi-agent problems admit a compatible single-agent counterpart in which the underlying task can be learned in isolation. We in...

E. Abboud, Oren Gal · 0 citations

#artificial intelligence Review May 2026

MOSAIC-Bench: Measuring Compositional Vulnerability Induction in Coding Agents

MOSAIC-Bench (Malicious Objectives Sequenced As Innocuous Compliance), a benchmark of 199 three-stage attack chains paired with deterministic exploit oracles on deployed software substrates that treats both exploit ground truth and downstream reviewer protocol as first-class evaluation axes, is introduced.

J. Steinberg, Oren Gal · arXiv.org · 4 citations