Teach a Quadcopter How to Fly - Reinforcement Learning Coursework for Udacity Machine Learning Engineer Nanodegree
Teach a Quadcopter How to Fly!
In this project, you will design an agent to fly a quadcopter, and then train it using a reinforcement learning algorithm of your choice!
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Clone the repository and navigate to the downloaded folder.
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Create and activate a new environment.
conda create -n quadcop python=3.6 matplotlib numpy pandas
source activate quadcop
- Create an IPython kernel for the
quadcopenvironment.
python -m ipykernel install --user --name quadcop --display-name "quadcop"
- Open the notebook.
jupyter notebook Quadcopter_Project.ipynb
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Before running code, change the kernel to match the
quadcopenvironment by using the drop-down menu (Kernel > Change kernel > quadcop). Then, follow the instructions in the notebook. -
You will likely need to install more pip packages to complete this project. Please curate the list of packages needed to run your project in the
requirements.txtfile in the repository.