dclaz/mELO: Multidimensional Elo Ratings
An implementation of DeepMind's multidimensional Elo rating (mELO) approach for evaluating agents. The mELO rating system has the desirable properties of being able to handle cyclic interactions and is better behaved in the presence of redundant copies of agents or tasks. This package uses code directly from Alec Stephenson and Jeff Sonas's excellent PlayerRatings package (v1.0-3, 2019-02-22).
Getting started
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Package details |
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| Maintainer | |
| License | GPL-3 |
| Version | 0.1.0 |
| URL | https://dclaz.github.io/mELO https://github.com/dclaz/mELO |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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