Learning GFlowNets from partial episodes for improved convergence and stability

Kanika Madan, Jarrid Rector-Brooks, Maksym Korablyov +6

Generative flow networks (GFlowNets) are a family of algorithms for training a sequential sampler of discrete objects under an unnormalized target density and have been successfull…