Search Results for author: Sami Jullien

Found 4 papers, 1 papers with code

Distributional Reinforcement Learning with Dual Expectile-Quantile Regression

no code implementations26 May 2023 Sami Jullien, Romain Deffayet, Jean-Michel Renders, Paul Groth, Maarten de Rijke

Motivated by the efficiency of $L_2$-based learning, we propose to jointly learn expectiles and quantiles of the return distribution in a way that allows efficient learning while keeping an estimate of the full distribution of returns.

Continuous Control Distributional Reinforcement Learning +3

A Simulation Environment and Reinforcement Learning Method for Waste Reduction

no code implementations30 May 2022 Sami Jullien, Mozhdeh Ariannezhad, Paul Groth, Maarten de Rijke

We frame inventory restocking as a new reinforcement learning task that exhibits stochastic behavior conditioned on the agent's actions, making the environment partially observable.

Distributional Reinforcement Learning reinforcement-learning +1

Reproducibility as a Mechanism for Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence

no code implementations1 Nov 2021 Ana Lucic, Maurits Bleeker, Sami Jullien, Samarth Bhargav, Maarten de Rijke

In this work, we explain the setup for a technical, graduate-level course on Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence (FACT-AI) at the University of Amsterdam, which teaches FACT-AI concepts through the lens of reproducibility.

Fairness

A Next Basket Recommendation Reality Check

1 code implementation29 Sep 2021 Ming Li, Sami Jullien, Mozhdeh Ariannezhad, Maarten de Rijke

We propose a set of metrics that measure the repeat/explore ratio and performance of NBR models.

Next-basket recommendation

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