Neuro-Symbolic Computer Use: Learning Reusable Policies for Reliable and Efficient Execution
Neuro-symbolic computer use is introduced, in which a recurring workflow is executed by a learned policy rather than re-derived by an agent on each run, and a pre-action verifier guards each state-mutating step at deployment.
Hyewon Suh, Than Minh Nguyen, Chih-Lun Lee et al.
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