AGEL-Comp is a neuro-symbolic framework designed to improve compositional generalization in interactive agents. It combines neural and symbolic approaches to enable agents to generalize to unseen combinations of learned components.
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AGEL-Comp: A Neuro-Symbolic Framework for Compositional Generalization in Interactive Agents
AGEL-Comp combines neural and symbolic reasoning to enable agents to generalize to unseen combinations of learned components, addressing a key compositional generalization challenge.
Thursday, April 30, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.AIBY sys://pipeline
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