Offline Evaluation for Reinforcement Learning-Based Recommendation: A Critical Issue and Some Alternatives. - Romain Deffayet; Thibaut Thonet; Jean-Michel Renders; Maarten de Rijke (SIGIR Forum, 2022)

An Offline Metric for the Debiasedness of Click Models. - Romain Deffayet; Philipp Hager; Jean-Michel Renders; Maarten de Rijke (SIGIR, 2023)

Generative Slate Recommendation with Reinforcement Learning. - Romain Deffayet; Thibaut Thonet; Jean-Michel Renders; Maarten de Rijke (WSDM, 2023)

Evaluating the Robustness of Click Models to Policy Distributional Shift. - Romain Deffayet; Jean-Michel Renders; Maarten de Rijke (ACM Trans. Inf. Syst., 2023)

Report on the 1st Workshop on Generative Information Retrieval (Gen-IR 2023) at SIGIR 2023. - Gabriel Bénédict; Ruqing Zhang 001; Donald Metzler; Andrew Yates; Romain Deffayet; Philipp Hager; Sami Jullien (SIGIR Forum, 2023)

Unbiased Learning to Rank Meets Reality: Lessons from Baidu's Large-Scale Search Dataset. - Philipp Hager; Romain Deffayet; Jean-Michel Renders; Onno Zoeter; Maarten de Rijke (SIGIR, 2024)

SARDINE: Simulator for Automated Recommendation in Dynamic and Interactive Environments. - Romain Deffayet; Thibaut Thonet; Dongyoon Hwang; Vassilissa Lehoux; Jean-Michel Renders; Maarten de Rijke (Trans. Recomm. Syst., 2024)

Distributional Reinforcement Learning with Dual Expectile-Quantile Regression. - Sami Jullien; Romain Deffayet; Jean-Michel Renders; Paul Groth; Maarten de Rijke (UAI, 2025)

Disentangled Object-Centric Image Representation for Robotic Manipulation. - David Emukpere; Romain Deffayet; Bingbing Wu; Romain Brégier; Michael Niemaz; Jean-Luc Meunier; Denys Proux; Jean-Michel Renders; Seungsu Kim (CoRR, 2025)

RANa: Retrieval-Augmented Navigation. - Gianluca Monaci; Rafael S. Rezende; Romain Deffayet; Gabriela Csurka; Guillaume Bono; Hervé Déjean; Stéphane Clinchant; Christian Wolf 001 (CoRR, 2025)