In your terminal, navigate to where you would like to save this repository. Then do:
git clone https://github.com/oliverjm1/RL.git
This should create a folder called RL, containing the directory.
The environment file can be found at the top level of this cloned repository (rl_env.yml).
To create an environment from this file, go to terminal, make sure you're in the directory (cd RL) and enter:
conda env create -f environment1.yml.
Fingers crossed.
Hopefully this should work but it never seems to be that simple. If not, have a look at the alt_setting_up_env.md file which uses conda instead of pip (Or give me a shout!).
Once the environment has been created, activate it with conda activate rl_env (or whatever you named the environment).
There is a python notebook with example code for using OpenAi gym, both for playing the games manually and for training a network through reinforcement learning to play the games. This file is found in the top level of the directory (file is called start_here.ipynb). I've been using VSCode but you should also be able to use jupyter notebook. Just make sure that the conda rl_env environment is activated.
To make sure you're working within a specific conda environment in jupyter notebook, make sure the environment is active and open the notebook through the terminal using jupyter notebook start_here.ipynb once navigated into the RL folder (potentially will have to do pip install jupyter at this point).
This repo will contain all things related to reinforcement learning. Hackathon on 13/03/2024. Up until then will be messing around and experimenting with stuff.
Within src, each game has its own folder. This may contain a version of the game able to be played manually on the keyboard (denoted with suffix _manual), as well as versions for training a network to play the game through reinforcement learning.
Layout of files seen below:
.
├── LICENSE
├── README.md
├── __init__.py
├── alt_setting_up_env.md
├── environment1.yml
├── src
│ ├── acrobot
│ │ ├── acrobot_manual.py
│ │ └── acrobot_train.py
│ ├── breakout
│ │ ├── breakout_manual.py
│ │ └── breakout_train.py
│ ├── carRacing
│ │ └── carRacing_manual.py
│ ├── cartPole
│ │ ├── cartPole_manual.py
│ │ ├── cartPole_train.py
│ │ └── myCartPole.py
│ └── mountainCar
│ ├── mountainCar_manual.py
│ └── mountainCar_train.py
├── start_here.ipynb
└── the_notebook.png