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 93 Commits
.ipynb_checkpoints		.ipynb_checkpoints
Analyse		Analyse
Models		Models
games		games
negaMax		negaMax
results		results
run		run
run_archive/connect4/run0001		run_archive/connect4/run0001
solver		solver
.DS_Store		.DS_Store
.gitignore		.gitignore
LICENSE		LICENSE
MCTS.py		MCTS.py
Negamax.py		Negamax.py
README.md		README.md
TODO.txt		TODO.txt
agent.py		agent.py
config.py		config.py
dynamic4.py		dynamic4.py
funcs.py		funcs.py
game.py		game.py
initialise.py		initialise.py
loggers.py		loggers.py
loss.py		loss.py
main.py		main.py
memory.py		memory.py
model.py		model.py
requirements.txt		requirements.txt
run.ipynb		run.ipynb
settings.py		settings.py
utils.py		utils.py

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