Author

Linsen Guo

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Jul 2026

ClawTrack: Towards Trace-Level Evaluation and Improvement of Real-World Autonomous Agents

ClawTrack is presented, a dual-assessment benchmark that simultaneously measures what an agent achieves (Task Score) and how it achieves it (Process Score) and finds that process scores effectively attribute success and failure to specific reasoning dimensions, filtering lucky passes invisible to outcome-only evaluation.

Xingjian Wu, Xuhan Zhu, Xing-Chen Liu et al. · arXiv.org · 0 citations

#machine learning Preprint Jul 2026

EvoCUA-1.5: Online Reinforcement Learning for Multi-turn Computer-Use Agents

EvoCUA-1.5 extends self-evolving computer-use agents from offline experience learning to online reinforcement learning, where policies interact with executable sandbox environments and improve from verifiable task outcomes and provides a practical framework for scaling online RL in multi-turn computer-use agents.

Mianqiu Huang, Taofeng Xue, Chong Peng et al. · 1 citation

Jul 2026

Contrastive Reinforced Policy Optimization via Privileged Self-Distillation

Contrastive Reinforced Policy Optimization (CRPO) is introduced, which reformulates agentic OPSD from a contrastive learning perspective, and conducts group-wise contrast to preserve reliable, fine-grained optimization signals.

Xingjian Wu, Junlin Liu, Xing-Chen Liu et al. · arXiv.org · 1 citation