Information-Geometric Forward Policy Training in GFlowNets
This work formulate forward-policy training in GFlowNets through the information geometry of the induced trajectory sampler, and derives an exact decomposition of the trajectory Fisher into per-step conditional second moments, which clarifies when temporal score interactions vanish and when dense couplings remain under...