[KongchangAI]
Unverified50% confidenceFactExact time

GFlowNets sample proportionally rather than maximizing reward, so even when the out-of-sample accuracy of the reward proxy is low, the model maintains broad exploration and is robust to an imperfect reward proxy.

1
Sources
50%
Confidence
Long-term
Relevance
10/30/2026
First Seen

Sources

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