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Lena Nehale Ezzine

2 accepted papers

2025

Action abstractions for amortized sampling

ICLR 2025poster

As trajectories sampled by policies used by reinforcement learning (RL) and generative flow networks (GFlowNets) grow longer, credit assignment and exploration become more challenging, and the long planning horizon hinders mode discovery and generalization. The challenge is particularly pronounced i…

Cited by 0SourcePDFScholar
2023

A theory of continuous generative flow networks

ICML 2023poster

Generative flow networks (GFlowNets) are amortized variational inference algorithms that are trained to sample from unnormalized target distributions over compositional objects. A key limitation of GFlowNets until this time has been that they are restricted to discrete spaces. We present a theory fo…