PatchBoard is introduced, a schema-grounded collaboration architecture that replaces inter-agent dialogue with validated JSON Patch mutations over a shared structured state that achieves an 84.6% success rate on matched ALFWorld episodes.
This work proposes RLLMNav, a method that integrates historical experience of RL with commonsense reasoning of LLM through a confidence-gated routing mechanism, and utilizes commonsense knowledge extracted from an LLM to suggest frontiers.
Kexun Chen, Qianlei Wang, Zhixuan Shen et al.· International Journal of Mac...· 0 citations
This work introduces ScaleCUA, a unified framework that scales online RL for CUAs via verifiable task synthesis and efficient training, and designs VeriGen, an end-to-end framework for generating verifiable RL tasks through iterative docker interactions and a multi-agent feedback loop.