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#artificial intelligence Preprint Oct 2026

PrT-Flow: Probability-Tractable Flow Matching for Reinforcement Learning

PrT-Flow (Probability-Tractable Flow Matching), which computes probability density while retaining multimodal, multi-step action generation, and demonstrates that invertible networks with tractable probability densities can learn effective robot policies and support SAC-style actor-critic training.

Cong-Zhong Sun, Ning Tan · 0 citations

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