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hongruhou89/ProRL — GitHub trending stats & insights | Trendshift
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hongruhou89/ProRL
ICML 2026: "ProRL: Effective Reinforcement Learning for Proactive Recommendation via Rectified Policy Gradient Estimation"
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Python
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2
1 contributors
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ProRL fixes RL for proactive recommendation Standard policy gradients fail when nudging user preferences because longer paths collect higher rewards and gradients drown in noise. ProRL rectifies both…
@HuggingPapers · x.com
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