Whack-a-mole is a popular arcade game which challenges the reaction time of the player to the random or patterned appearance of a mole in a hole in this project we implemented Q-learning to train the agent to maximise the rewards by learning from the game and predicting the mole position.
Clone the project
git clone https://github.com/DevNick21/WhackAMole_QLearningGo to the project directory
cd my-projectInstall dependencies
pip install numpy==1.26.4 matplotlib==3.9.2 pandas==2.2.3 pygame==2.6.1 seaborn==0.13.2