Comments (1)
lerrytang
commented on September 28, 2024
Hi, thanks for being interested!
I've created another branch that contains some simplified code for training on a local machine.
On a 96 CPU machine, I was able to train the model for 10 hours and get 854 averaged over 100 rollouts (see pretrained/carracing/test_solution.txt), I guess that if I had let it run longer it can hit 900.
You can also train an agent on GPU, please see the README for command.
I wanted to test and respond to you quickly, so I've only tested GPU training on the MLPSolution.
Please see the MLPSolution example in torch_solutions.py and make similar changes to AttentionAgent.
If you have any problems, please let me know.
from brain-tokyo-workshop.
Related Issues (20)
- wann_train.py error HOT 8
- index XXX is out of bounds for axis 1 with size 10
- Hi,I have some problems when I run the vae_racing in prettyNEAT? HOT 5
- Ranking method inconsistency between duplicated projects HOT 1
- ListXor and alg_act parameter
- Why parameter ‘prob_crossover’ is 0？ HOT 4
- What is the reason for the restriction on introducing new edges (source node must be in same or lower layer)? HOT 5
- Question regarding the innovation record HOT 2
- Creating the initial population HOT 1
- Why is the network's fitness smoother when the weight is positive HOT 1
- How about input and output activation functions changing? HOT 4
- AttentionAgent: can't run pretrained CarRacing examples because of doom problems? HOT 2
- AttentionAgent: mysterious 2*top_k, maybe a mistake? HOT 6
- Version of MNIST used to produce the results presented in the paper HOT 2
- AttentionNeuron - Permutation invariance HOT 4
- Google Colab GPU Error HOT 2
- Security Policy violation Binary Artifacts HOT 9
- Applicability to non-RL problems? HOT 2
- How to train AtariPong agent?
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 brain-tokyo-workshop.