Comments (4)
Hello,
We will release documentation for exactly that this week. It will be part of a "submission documentation" covering creating a docker and using AWS p2 instances (GPU enabled), which will be used to evaluate your submissions. This docker will work for training as well after adding your own libraries.
In the meantime, I've added a dockerfile for you. To use CUDA capabilities on the docker you ll need to use this (comes pre-installed on most compute instances). Finally, when creating your environment select docker_training=True
and you're good to go.
Keep in mind we're still working on the submission pipeline and this Dockerfile might be a bit different next week.
from animalai-olympics.
@beyretb could you give us an update on the cloud docs?
Also, the Dockerfile link seems to be broken.
Thanks
from animalai-olympics.
I'll leave this thread open a bit, in case something is missing and/or not clear.
from animalai-olympics.
closing this as there seem to be no questions
from animalai-olympics.
Related Issues (20)
- Website is down HOT 1
- what's the angle of view of the agent? HOT 2
- [beginner's question] how much computing resources are required to train a reasonable model? HOT 2
- Get agent x, y, z position during training HOT 1
- Question about example config files HOT 2
- Can i get the velocity of the agent? HOT 2
- Docker and AWS HOT 5
- Gym Wrapper multi-agent HOT 2
- overtrained? HOT 8
- Question about internal memory category HOT 1
- Instructions for final submissions HOT 2
- Env directory is ignored in .gitignore HOT 1
- Windows ENV cant donwload HOT 1
- Online-world suggestion HOT 1
- Google Colab Run error HOT 1
- Question about the way about curriculum HOT 2
- Windows environment download link HOT 1
- Modify environment assets / make new environment? HOT 1
- Tensorflow 2 compatability HOT 2
- CylinderTunnel and CylinderTunnelTransparent items not showing in the arena
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 animalai-olympics.