RecSim

RecSim is a simulation environment used to evaluate reinforcement learning-based recommendation systems by modeling user interactions and behaviors in a controlled setting.

Papers using RecSim (3)

FedSlate:A Federated Deep Reinforcement Learning Recommender System2024A Load Balanced Recommendation Approach2021 · 1 citesFEBR: Expert-Based Recommendation Framework for beneficial and personalized content2021