Revisiting Non-Acyclic GF
Revisiting Non-Acyclic GFlowNets in Discrete Environments
Revisiting Non-Acyclic GFlowNets in Discrete Environments
arXiv:2502.07735v1 Announce Type: new
Abstract: Generative Flow Networks (GFlowNets) are a family of generative models that learn to sample objects from a given probability distribution, potentially known up to a normalizing constant. Instead of working in the object space, GFlowNets proceed by sam…
