Connect Four with Reinforcement Learning – Python

● Training a reinforcement learning agent to play a game of Connect 4, with a visual simulation

● The agent utilizes the deep Q-learning algorithm to learn after every game against either a human or another agent

Name		Name	Last commit message	Last commit date
Latest commit History 46 Commits
__pycache__		__pycache__
Agent.py		Agent.py
Board.py		Board.py
ConnectFour.py		ConnectFour.py
QAgent.py		QAgent.py
Q_Results		Q_Results
Q_Results.txt		Q_Results.txt
README.md		README.md

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