State Encoders in Reinforcement Learning for Recommendation: A Reproducibility Study

1 code implementation • 10 May 2022 • Jin Huang, Harrie Oosterhuis, Bunyamin Cetinkaya, Thijs Rood, Maarten de Rijke

In response to these shortcomings, we reproduce and expand on the existing comparison of attention-based state encoders (1) in the publicly available debiased RL4Rec SOFA simulator with (2) a different RL method, (3) more state encoders, and (4) a different dataset.

reinforcement-learning Reinforcement Learning (RL)