Neurosymbolic Action Model Learning under Partial Observability

T1Covered by 1 source · first reported by arXiv at 24 Sept, 04:00 UTC

arXiv:2609.25766v1 Announce Type: new Abstract: AI planning studies how an agent can reach a goal by executing a sequence of actions. To plan correctly, the agent needs an action model describing when each action can be executed and how it changes the world. Constructing such models by hand…

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Sources

• T1Neurosymbolic Action Model Learning under Partial ObservabilityarXiv24 Sept, 04:00