4th year Project Documents

This is a github Repo to store the different documents that I have for my final year project.

My project is based on the Monte-Carlo Tree Search which was used as part of Alpha-Go to be able to play the game of go.

run an anaconda command prompt and dc into the GymGo folder
Run the commands: conda create -n tensorflow python=3.7 conda activate tensorflow conda install python=3.6.5 pip install tensorflow==2.2.0 pip install gym pip install matplotlib pip install sklearn pip install -e .
Run any other pip isntall commands for any other libraries that you need to run the code
If you want to see the deep q learning model learn run the command: python training.py
If you want to see the deep q learning model play run the command: python model_playing.py
If you want to test out the proximal policy optimisation code run the command: python proximal_policy_optimisation.py This will allow the model to learn as well as play against a player