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Author

Alex Schutz

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#artificial intelligence Preprint Sep 2026

Beyond Static Graph World Models: Learning Stochastic Latent Dynamics over Evolving Topologies

Graph-based world models have recently emerged as a means of learning transitions over relational state representations. However, existing approaches are largely limited to fixed-topology graphs or deterministic, fully observable environments. We propose the Graph Dynamics Model (GDM), a world model for graph-structure...

Alex Schutz, Nick Hawes, Victor-Alexandru Darvariu · 0 citations

Tackling GNARLy Problems: Graph Neural Algorithmic Reasoning Reimagined through Reinforcement Learning

This work reframe the problem of learning algorithm trajectories as a Markov decision process, which imposes structure on the solution construction procedure and unlocks the powerful tools of imitation and reinforcement learning (RL).

Alex Schutz, Victor-Alexandru Darvariu, Efimia Panagiotaki et al. · 1 citation

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