Author

Y. Raykov

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Preprint Aug 2026

Information-Geometric Forward Policy Training in GFlowNets

Generative Flow Networks (GFlowNets) have emerged as a flexible framework for amortised inference over discrete and mixed discrete-continuous objects, requiring only an unnormalised target density specified through a reward. In this work, we formulate forward-policy training in GFlowNets through the information geometr...

Y. Raykov, Rodrigo Veiga · 1 citation