Beyond Static Graph World Models: Learning Stochastic Latent Dynamics over Evolving Topologies
arXiv:2609.28670v1 Announce Type: new Abstract: 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 prop…
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- 2026-09-25 04:00 · arXiv cs.LG
Beyond Static Graph World Models: Learning Stochastic Latent Dynamics over Evolving Topologies