EnactOpt: Diagnosis-Guided Harness Evolution for Embodied Ag
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Source roundup from published reports. Claims below are attributed to their publishers, not independently verified. arXiv Robotics — research abstracts: EnactOpt: Diagnosis-Guided Harness Evolution for Embodied Agents. EnactOpt is a method that uses limited execution feedback to jointly evolve reusable textual skills and context-construction code for embodied agents, without updating model parameters. It improves task success by approx…
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- arXiv Robotics — research abstractsEnactOpt: Diagnosis-Guided Harness Evolution for Embodied Agents
EnactOpt is a method that uses limited execution feedback to jointly evolve reusable textual skills and context-construction code for embodied agents, without updating model parameters. It improves task success by approximately 10-27 percentage points over initial harnesses and outperforms several baselines across benchmarks like VLABench, ALFWorld, and EAI.
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