Welcome to VDL’s documentation!

This documentation documents how to reproduce the result in the VDL project.

_images/architecture.png

The architecture with multiple learners and multiple actors

The final presentation is hosted here

Files in this project

# Main
docs/                   # Documentation files in reStructuredText format
universe-starter-agent/ # Virtual distributed learning system, the code is
# modified from https://github.com/openai/universe-starter-agent, which
# provides the baseline learning algorithm.

# Components
learner-actor/          # Experiment code for learner-actor communication
tensorflow_MNIST/       # Experiment code for P2P-multi-learner

# Utility
gym-demo/               # Virtual environnment demos to make sure the dev
# boxs are correctly configured.
benchmark/              # Benchmark code to evaluate the network speed and
# speed of different virtual environments

# Virtual arm
arm-pose/               # Pose estimation code trained on the virtual arm
# and test on the real arm.
owi-arm/                # Code to control real and the virtual arm