no code implementations • 3 Jul 2024 • Anas Krichel, Nikolay Malkin, Salem Lahlou, Yoshua Bengio
This paper attempts to formalize generalization in the context of GFlowNets, to link generalization with stability, and also to design experiments that assess the capacity of these models to uncover unseen parts of the reward function.
