Reinforcement-Learning

Different Reinforcement Learning algoritms for different games

Deep Q Learning for Doom

Need to install vizdoom For windows:

Download the compiled binary from https://github.com/mwydmuch/ViZDoom/releases/download/1.1.8pre/ViZDoom-1.1.8pre-Win-Python37-x86_64.zip
Extract the vizdoom folder to site-packages (/path_to_anaconda/Anaconda/envs/env_name/Lib/site-packages/)
copy the files from basic.cfg and basic.wag from vizdoom/scenarios to your working directory

The model was trained on 2000 games

Name		Name	Last commit message	Last commit date
Latest commit History 25 Commits
A2C/Sonic_Hedgehog2		A2C/Sonic_Hedgehog2
Deep Q Learning		Deep Q Learning
Policy based learning/CartPole		Policy based learning/CartPole
Q_Learning_with_OpenAI.ipynb		Q_Learning_with_OpenAI.ipynb
README.md		README.md