MachEmbodied-Brain (ME-Brain) is introduced, a self-evolving embodied system organized around a closed loop of action execution, experience acquisition, experience evolution, and improved execution that shifts embodied intelligence from train-and-freeze to deploy-and-evolve without model retraining.
Wei He, Heng-Tao Li, Chen-Feng Wang et al.· 1 citation
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 evaluatio...
Xingjian Wu, Xuhan Zhu, Xing-Chen Liu et al.· arXiv.org· 0 citations
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· 2 citations
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