Elo Ratings and the Sports Model: A Neglected Topic in Applied Probability?

By David J. Aldous. 2017

56 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Economics and Econometrics, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/5c2a1b1da250ea3bdc38ab3ada261df83e028fc5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. R´emi Munos
2. Karl Tuyls
3. Wojciech M. Czarnecki
4. Marc Lanctot
5. Julien Pérolat
6. Sergey Levine
7. Jean-Baptiste Lespiau
8. Shayegan Omidshafiei

In Economics and Econometrics

1. R´emi Munos
2. Karl Tuyls
3. Julien Pérolat
4. Jean-Baptiste Lespiau
5. Marc Lanctot
6. Shayegan Omidshafiei
7. Christos H. Papadimitriou
8. Wojciech M. Czarnecki

Citations in the corpus

• α-Rank: Multi-Agent Evaluation by Evolution (2019, methodology): “The Elo rating system has ubiquitously been used for ranking and predicting outcomes in board games [94], sports [95–99], and artificial intelligence [3, 100].”