Connect Four
Reinforcement LearningYour Turn (Click a column)
About the Project
This Connect Four agent is powered by a Deep Q-Network (DQN), a reinforcement learning algorithm that combines Q-Learning with deep neural networks.
The model takes the current board state as input and outputs Q-values for each possible column, representing the expected future reward for placing a piece in that column.
Full training details and architecture diagrams will be added soon.