Inferring Intents From Equivariant–Invariant Representations and Relational Learning in Multiagent Systems
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DOI: 10.1109/jsyst.2024.3440472
Abstract: Accurately understanding intentions is crucial in various real-world multiagent scenarios, which helps comprehend motives and predict actions within these contexts. Existing methods tend to either concentrate too much on single agents' isolated characteristics or model… read more here.
Keywords: inferring intents; multiagent; equivariant invariant; invariant representations ... See more keywords