2026
Avoid What You Know: Divergent Trajectory Balance for GFlowNets
ICML 2026poster
Generative Flow Networks (GFlowNets) are a flexible family of amortized samplers trained to generate discrete and compositional objects with probability proportional to a reward function. To this end, they learn a policy function over an intractably large state graph by minimizing a stochastic objec…