Author

Jack W. Stokes

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Preprint Jul 2026

GFlowRL: Scaling Distribution-Matching RL to Large Language Models

GFlowRL, a streamlined GFlowNet-style RL algorithm that removes the auxiliary partition network entirely while preserving the reward-distribution-matching objective, is proposed, and is the first GFlowNet-style RL algorithm to scale stably across both dense and sparse architectures.

Xiaodong Liu, Michael Xu, Jack W. Stokes et al. · 0 citations