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#artificial intelligence Preprint Oct 2026

Why Do Agent Teams Fail Across Boundaries? A Failure Taxonomy for Agent-to-Agent Systems with Private States

Agents are increasingly interacting with other agents that act for different principals (people or organizations on whose behalf they work), such as a buyer's personal agent negotiating with an enterprise's seller agent. In such agent-to-agent (A2A) scenarios, each agent has its own environment and holds information an...

Sarath Shekkizhar, Prathyusha Jwalapuram, Zi-Xuan Ke et al. · 0 citations
#artificial intelligence Preprint Oct 2026

DeltaTTG: Training Multi-Turn Agents with a Token-to-Go Progress Meter

Reinforcement learning with verifiable rewards (RLVR) for multi-turn agents relies on sparse terminal rewards that say little about individual steps. Within-group step comparisons depend on reliable state matching and sufficiently diverse sampled outcomes, while direct step scoring may require costly external evaluator...

Xu-Yan Ye, Xiyan Fu, Sheng-Da Fan et al. · 0 citations

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