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SARDINE: A Simulator for Automated Recommendation in Dynamic and Interactive Environments

We built a simulator that accounts for the dynamic and interactive nature of recommender systems. Off-the-shelf RL baselines are not able to solve the tasks we propose.

Generative Slate Recommendation with Reinforcement Learning

Learning to recommend slates with RL is hard, because of the combinatorial action-space. Instead of making assumptions on user behavior, we tried taking actions in the latent space of a VAE, which then decodes slates.

Articles Tagged: "Slate recommendation"

SARDINE: A Simulator for Automated Recommendation in Dynamic and Interactive Environments

Generative Slate Recommendation with Reinforcement Learning