AIBullisharXiv – CS AI · Mar 47/102
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Efficient Agent Training for Computer Use
Researchers introduced PC Agent-E, an efficient AI agent training framework that achieves human-like computer use with minimal human demonstration data. Starting with just 312 human-annotated trajectories and augmenting them with Claude 3.7 Sonnet synthesis, the model achieved 141% relative improvement and outperformed Claude 3.7 Sonnet by 10% on WindowsAgentArena-V2 benchmark.