HumanWareFundemental: Sysngy Team

This repository is cloned from openai/baselines and modifided for our reseach. Don't make PR for ofiginal repogitory.

Train model with DDPG

TBA

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Memo

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Initial Setup

Virtual environment

From the general python package sanity perspective, it is a good idea to use virtual environments (virtualenvs) to make sure packages from different projects do not interfere with each other. You can install virtualenv (which is itself a pip package) via

pip install virtualenv

Virtualenvs are essentially folders that have copies of python executable and all python packages. To create a virtualenv called venv with python3, one runs

virtualenv /path/to/venv --python=python3

To activate a virtualenv:

. /path/to/venv/bin/activate

More thorough tutorial on virtualenvs and options can be found here

Installation

• Clone the repo and cd into it:

  git clone https://github.com/openai/baselines.git
  cd baselines

• If you don't have TensorFlow installed already, install your favourite flavor of TensorFlow. In most cases,

  pip install tensorflow-gpu # if you have a CUDA-compatible gpu and proper drivers

  or

  pip install tensorflow

  should be sufficient. Refer to TensorFlow installation guide for more details.

• Install baselines package

  pip install -e .

MuJoCo

Some of the baselines examples use MuJoCo (multi-joint dynamics in contact) physics simulator, which is proprietary and requires binaries and a license (temporary 30-day license can be obtained from www.mujoco.org). Instructions on setting up MuJoCo can be found here