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Blai Bonet

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#artificial intelligence Preprint Oct 2026

Learning How to Search for Plans with Exponentially Less Space

Heuristic search for a plan can store exponentially many states, even when its heuristic is almost perfect. We instead learn search control, one specification per domain, written as an indexical policy: a generalized policy with registers that hold objects and modes that sequence its rules. We add the choose rule, whic...

Dominik Drexler, Simon Ståhlberg, M. Fritzsche et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Recurrent Graph Neural Networks with Set-Based Aggregation

This work studies recurrent GNNs with set-based aggregation and identifies sufficient conditions checkable from the weights for networks to compile into formulas and formulas into networks, yielding an effective, two-directional equivalence between a class of networks and the Boolean closure of reachability and safety...

Blai Bonet · 0 citations

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