Learning Without Losing Identity: Capability Evolution for Embodied Agents
Learning Without Losing Identity: Capability Evolution for Embodied Agents explores A capability-centric evolution paradigm for embodied agents that decouples capability learning from agent identity, enabling continuous improvement without loss of stability.. Commercial viability score: 7/10 in Embodied AI.
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