Harness-S trains agents using sibling harnesses
It selectively rescues failures with sibling harnesses and transfers capabilities to the base policy.
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It selectively rescues failures with sibling harnesses and transfers capabilities to the base policy.
TinyAstral transfers gains from large teacher harnesses to compact students reaching near teacher performance on manipulation tasks.
Video-RSI lets video agents rewrite their own harnesses, improving accuracy while inspecting fewer frames.
Research shows imitation of expert trajectories breaks weaker models' harness fit, while on-policy expert correction preserves gains across seven enterprise agent tasks.
Researchers introduce EVOHARNESSBENCH, a benchmark showing that evolving agent harnesses (tools, skills, agents) cause forgetting and inconsistent adaptation across 802 tasks.
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