Search Results for author: Théophane Gregoir

Found 2 papers, 2 papers with code

A Large Scale Benchmark for Individual Treatment Effect Prediction and Uplift Modeling

1 code implementation • 19 Nov 2021 • Eustache Diemert, Artem Betlei, Christophe Renaudin, Massih-Reza Amini, Théophane Gregoir, Thibaud Rahier

Individual Treatment Effect (ITE) prediction is an important area of research in machine learning which aims at explaining and estimating the causal impact of an action at the granular level.

Causal Inference

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Evaluating Soccer Player: from Live Camera to Deep Reinforcement Learning

1 code implementation • 13 Jan 2021 • Paul Garnier, Théophane Gregoir

In this paper, we will introduce a two-part solution: an open-source Player Tracking model and a new approach to evaluate these players based solely on Deep Reinforcement Learning, without human data training nor guidance.

reinforcement-learning Reinforcement Learning (RL)

158

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Code

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