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VISTA: An Active Exploration Framework for Self-Improvement in Embodied Agents

VISTA is a meta-agent framework that replaces post-hoc replay reflection with active self-exploration to improve the harness of embodied agents. It maintains a harness graph that records the lineage of harness versions, enabling the meta-agent to retrieve past hypotheses, reuse effective mechanisms, and avoid repeating failed directions. Each round starts from a retained version and its execution evidence, autonomously generates new rollouts, probes failure and recovery behavior, and on that basis iteratively revises the harness and re-evaluates it.

Part of the event: VISTA: A Proactive Self-Exploration Framework for Self-Improving Embodied Agents

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