Announcement
EmbodiedEvo aims to carry agent practice into unseen layouts without model-weight updates
EinsiaAI says its system passes skills and lessons from one Playground to agents facing unseen layouts.
TLDR
EinsiaAI introduced EmbodiedEvo as a way for coding agents to practice in one Playground and pass reusable skills and lessons to the next agent, without updating model weights. It reports a 45.08 average score, 38.95% success and a No. 1 ranking on the RoboDojo leaderboard.
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