donkirkby / donkirkby/zero-play

Compare with Minigo

Open
#1 1 comment 0 reactions 0 assignees View on GitHub
Dominant language
Python
Stars
10
Forks
1
PR merge metrics
No merged PRs in 30d

Description

[Minigo] sounds promising. Maybe it has all the features I need for the Shibumi games project, and I don't need to build my own. It was based on [MuGo], so that might also be useful.

[Minigo]: https://github.com/tensorflow/minigo
[MuGo]: https://github.com/brilee/MuGo

Contributor guide

Open the contributing guide

Research direction

Start by reviewing the linked Minigo and MuGo projects and compare their features with the needs of the Shibumi games project. No repository files or tests are named; done would require a documented decision about whether an existing project meets those needs or whether zero-play must build its own support.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, tensorflow
Domain
game-dev, machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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