Project 2: DDPG for Reacher environment

Introduction

For this project, you will train an agent that is represented by a double-jointed arm that need to keep its position on the target location.

How to run this project

1. Clone this repo :

   git clone https://github.com/MustaphaBM/DDPG_CONTINUOUS_CONTROL.git

2. Create a conda environment where all the dependencies will be installed

   conda env create -f environment.yaml

   conda activate environment.yaml

Getting Started

1. Download the environment from one of the links below. You need only select the environment that matches your operating system:

   • Linux: click here
   • Mac OSX: click here
   • Windows (32-bit): click here
   • Windows (64-bit): click here

   (For Windows users) Check out this link if you need help with determining if your computer is running a 32-bit version or 64-bit version of the Windows operating system.

   (For AWS) If you'd like to train the agent on AWS (and have not enabled a virtual screen), then please use this link to obtain the environment.