Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Implement Trueskill 2.0 features #5

Open
delaneyj opened this issue Jun 22, 2018 · 2 comments
Open

Implement Trueskill 2.0 features #5

delaneyj opened this issue Jun 22, 2018 · 2 comments

Comments

@delaneyj
Copy link

The Trueskill 2.0 paper came out a few months ago. It appears to be taking in game per players stats into account and includes quit penalties. There claim is much higher predictive power. It however doesn't appear to come with any source code. Is it possible to infer that steps necessary to implement?

@mafredri
Copy link
Owner

Thanks for bringing it to my attention. I’m going to put it on my reading list.

We could probably implement if they havent omitted too much info / details from the paper.

@delaneyj
Copy link
Author

Yeah, I actually ended up porting the python version of the original paper over just to begin to understand the new paper. My version supports multiple teams and doesn't use the bag collection that yours does. Thought we might be able to decode the new paper together.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants