Hitchiker-s-Guide-to-the-Galaxy-of-Reinforcement-Learning

A Complete tutorial of Deep Q learning and implementing them in PyTorch.

Pre Requisites:

1. Understanding of Neural Networks
2. Understanding of Probability Theory

To get started First Install the dependencies using Conda.

conda env create -f conda_environment.yaml

Export your Conda environment to the jupyter kernels, to use it with your notebook.

conda activate wbt
conda install -c anaconda ipykernel
python -m ipykernel install --user --name=wbt