2026
Evaluating GFlowNet from partial episodes for stable and flexible policy-based training
ICLR 2026poster
Generative Flow Networks (GFlowNets) were developed to learn policies for efficiently sampling combinatorial candidates by interpreting their generative processes as trajectories in directed acyclic graphs. In the value-based training workflow, the objective is to enforce the balance over partial ep…