The paper proposes an architecture that uses non-monotonic logical reasoning, learned teammate models, and foundation-model-based goal anticipation to improve ad hoc teamwork in the VirtualHome simulation.
Knowledge Representation, Reasoning and the Design of Intelligent Agents
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Generic-to-Specific Reasoning and Learning for Scalable Ad Hoc Teamwork
The paper proposes an architecture that uses non-monotonic logical reasoning, learned teammate models, and foundation-model-based goal anticipation to improve ad hoc teamwork in the VirtualHome simulation.