#hierarchical-rl News & Analysis

2 articles tagged with #hierarchical-rl. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · May 116/10

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Scalable Option Learning in High-Throughput Environments

Facebook Research introduces Scalable Option Learning (SOL), a hierarchical reinforcement learning algorithm that achieves 35x higher throughput than existing methods. The system was validated on complex environments including NetHack using 30 billion frames of experience, demonstrating superior performance over flat agents and suggesting that hierarchical RL can finally benefit from large-scale training.

$SOL

AINeutralarXiv – CS AI · Mar 54/10

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Fairness Begins with State: Purifying Latent Preferences for Hierarchical Reinforcement Learning in Interactive Recommendation

Researchers propose DSRM-HRL, a new framework that uses diffusion models to purify user preference data and hierarchical reinforcement learning to balance recommendation accuracy with fairness. The system addresses bias in interactive recommendation systems by separating state estimation from decision-making, achieving better outcomes on both utility and exposure equity.