Comments (7)
tommadams
commented on July 2, 2024
2
10 readouts is far too low. You should try at least 800 or 1600
from minigo.
sethtroisi
commented on July 2, 2024
A brief answer is
A lot of strength comes down to number of playouts (which depends on time / hardware).
With even modest hardware I suspect we are 3p+ and on good hardware all the strong engines seem to be able to win regularly against 7p+
from minigo.
amj
commented on July 2, 2024
@sethtroisi 3p/7p are no longer indications of strength; they are measures of achievement.
@smolendawid We're definitely past pro level in match settings. A github repo at one point tracked AI strength: https://github.com/breakwa11/GoAIRatings but it doesn't appear to have been updated lately.
from minigo.
smolendawid
commented on July 2, 2024
Great to know, congratulations to all the team. Thanks for the answer
from minigo.
smolendawid
commented on July 2, 2024
@sethtroisi by a number of playouts you mean --num_readouts? I'd like to play against a strong model but 000737-fury with 10 readouts doesn't seem too strong.
from minigo.
smolendawid
commented on July 2, 2024
And do you know how many readouts is possible on Raspberry PI in some reasonable time, let's say 5-10 sec?
from minigo.
tommadams
commented on July 2, 2024
I don't know about the full model. But we trained a quantized model that can be run on an Edge TPU, which is very fast: https://coral.ai/projects/minigo/
from minigo.
Related Issues (20)
- run concurrent selfplay without bazel HOT 1
- Running minigo with Sabaki GUI HOT 2
- Problem while building tpu-image HOT 3
- Problem in features.stone_features HOT 1
- Onscreen buttons in lw_demo don't toggle (work)
- Minigo not working on Coral accelerator HOT 4
- Add Edge TPU support to C++ engine HOT 1
- Decouple the conv data format from the input feature layout HOT 8
- 000990-cormorant: stderr thread died HOT 1
- Wrong argument passed in minigui/fetch-and-run.sh HOT 1
- How to communicate with engine easily outside stdin HOT 2
- Support for sending board state to the engine via GTP HOT 6
- Looking for 9x9 model files in .minigo file format HOT 7
- Error on Minigo v15(990)
- tensorflow.python.framework.errors_impl.InvalidArgumentError: 2 root error(s) found. (0) Invalid argument: Assign requires shapes of both tensors to match HOT 3
- The setting of num_readouts to get strongest of minigo
- train.sh in cloud tpu
- Minigo training using Coral Dev Board HOT 1
- ./cc/configure_tensorflow.sh HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from minigo.