DeepReinforcementLearning

A replica of the AlphaZero methodology in Python

See this article for a summary of the algorithm and run instructions.

Name		Name	Last commit message	Last commit date
Latest commit History 30 Commits
.ipynb_checkpoints		.ipynb_checkpoints
app		app
games		games
run		run
static		static
.DS_Store		.DS_Store
.gitignore		.gitignore
CONTRIBUTING.md		CONTRIBUTING.md
LICENSE		LICENSE
MCTS.py		MCTS.py
Procfile		Procfile
README.md		README.md
__init__.py		__init__.py
agent.py		agent.py
alpha_snake.py		alpha_snake.py
app.json		app.json
config.py		config.py
funcs.py		funcs.py
game.py		game.py
initialise.py		initialise.py
loggers.py		loggers.py
loss.py		loss.py
memory.py		memory.py
model.py		model.py
requirements.txt		requirements.txt
run.ipynb		run.ipynb
runtime.txt		runtime.txt
settings.py		settings.py
snake_keys.py		snake_keys.py
utils.py		utils.py

scsukas8/DeepReinforcementLearning