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
EvoHarnessBench is introduced, a benchmark for evaluating agents under controlled harness evolution across three axes (tools, skills, and agents), and establishes harness evolution as a distinct challenge for building agents that can keep pace with an evolving harness while preserving previously effective behavior.
Zi-Xuan Ke, Vaidehi Patil, Hai-Zhou Shi et al.· 5 citations· ⚡1
It is found that process-level verification does not consistently improve performance and frequently exhibits high variance, highlighting the difficulty of reliably evaluating partial multi-agent trajectories.
Vishal Venkataramani, Haizhou Shi, Zi-Xuan Ke et al.· arXiv.org· 6 citations
Procedural Memory Distillation is proposed, which converts crossepisode signals into reusable procedural memory and distills it into the policy's weights during training, yielding a memory-free model at inference.
Ye Liu, Srijan Bansal, Bo Pang et al.· 2 citations
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