Comments (2)
-
The screen output corresponds to various information regarding CMAES optimization procedure. You can find more detailed information in the documentation of the CMA package: https://github.com/CMA-ES/pycma.
-
With a single worker and a single GPU, it's going to take a really long time to train. For reference, our own experiments took about a day, with about 30 workers and 4 P100 gpus.
-
CMAES is a black box optimization algorithm who is normally best suited to optimize deterministic functions. In our case, the return obtained by the agent is stochastic (notably due to the randomized road tracks used during training). To decrease the amount of stochasticity of the optimized function, the return obtained is averaged on n-samples rollouts. Besides, CMA is a population based black box optimization method: at each optimization step, CMA maintains a population of candidate solutions to the optimization problem, and these candidates evolve during optimization. The population size thus refers to the number of candidates that CMA maintains during optimization.
from world-models.
Alright, now is much more clear!
from world-models.
Related Issues (20)
- Shouldn't this be outside the for loop? HOT 3
- Data generation script: No module named 'utils' HOT 3
- Different transform in trainvae.py & trainmdrnn.py HOT 2
- sleep(0.1) leads to infty loops HOT 3
- inconsisent MDRNN / MDRNNCell behavoir HOT 3
- Error training MD-rnn HOT 3
- Splitting of Train and Validation / Test set HOT 1
- one question about gmm_loss function HOT 1
- Possible error when predicting next action (class RolloutGenerator) HOT 7
- a multi-process problem in the controller
- Training the controller and getting stuck in local minima HOT 5
- The definition of GMM linear layer may wrong? Or I have missed something? HOT 4
- Multiprocessing very slow HOT 2
- issue about gmm_loss HOT 2
- Controller Input HOT 1
- the train_controller always break off when trainning about 15min
- MDRNN losses extremely low due to numerical instability?
- problem about training VAE
- MDRNN doesn't train properly on carracing?
- Worker dying issue with controller training
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 world-models.