Unity Banana Collector

This repository includes the code needed to train agents to solve Udacity navigation project based on Unity's Banana Collector environment.

The environment has two disctinct scenes. Refer to each specific page for setup, training and results.

• Vector Observation Space
• Visual Observations

Installation

Clone the repository and initialize the submodules.

git clone https://github.com/ostamand/banana-collector.git
cd banana-collector 
git submodule init 
git submodule update

Create a virtual environment and activate it.

python -m venv banana_0.4.0b
source banana_0.4.0b/bin/activate

Install Unity ml-agents.

git clone https://github.com/Unity-Technologies/ml-agents.git
git -C ml-agents checkout 0.4.0b
pip install ml-agents/python/.

Install the project requirements.

pip install -r requirements.txt

Optional

Install a new kernel.

ipython kernel install --user --name=banana_0.4.0b

If necessary, to delete the kernel use

jupyter kernelspec uninstall banana_0.4.0b