RL-4RS

Emerging

2papers using it

2021first seen

RL-4RS is an open-source real-world dataset designed to evaluate reinforcement learning-based recommender systems, containing two real-world datasets, data understanding tools, tuned simulation environments, and various RL baselines and evaluation algorithms.

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Papers using RL-4RS (2)

Neural Click Models for Recommender Systems2024 · 4 cites

RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender System2021