22 citations · 28 across the 9 of their papers we have counts for
3 papers · 1 filter
SARDINE: A Simulator for Automated Recommendation in Dynamic and Interactive Environments
Romain Deffayet, Thibaut Thonet, Dongyoon Hwang +3
Simulators can provide valuable insights for researchers and practitioners who wish to improve recommender systems, because they allow one to easily tweak the experimental setup in…
Generative Slate Recommendation with Reinforcement Learning
Romain Deffayet, Thibaut Thonet, Jean-Michel Renders +1
Recent research has employed reinforcement learning (RL) algorithms to optimize long-term user engagement in recommender systems, thereby avoiding common pitfalls such as user bore…
Offline Evaluation for Reinforcement Learning-based Recommendation: A Critical Issue and Some Alternatives
Romain Deffayet, Thibaut Thonet, Jean-Michel Renders +1
In this paper, we argue that the paradigm commonly adopted for offline evaluation of sequential recommender systems is unsuitable for evaluating reinforcement learning-based recomm…