/RL_Tutorial

Some algorithms apply in Reinforcement Learning

Primary LanguageJupyter Notebook

Env

conda create -n rl_tutorial python=3.8
conda activate rl_tutorial
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple ipykernel 
ipython kernel install --user --name=rl_tutorial

Usage

Here are the content list of the files.

There would be a README.md and requirement.txt in every file directory, which could help you build the environment and understand how to rebuild the project! If it helps you, STAR IT!

HW1 is applicatin of DQN and DDQN in the Highway Driving in sumo.

In this homework, we would learn the sumo environment and learn how to build our self-define environment in sumo!

And we also need to complie the code of DDQN! Here are the difference of DQN and DDQN.