Football Playing AI Agent

Description

To implement a football-playing AI agent, Google's Football Environment can be used, which provides a reinforcement learning framework for training agents in a simulated football setting. The problem can be approached using Deep Q-Networks (DQN), a self-learning algorithm that uses rewards to optimise actions, and LightGBM, a supervised learning technique trained on football match datasets from sources like Kaggle. Combining these approaches will allow the agent to learn complex skills autonomously while refining strategies based on data-driven insights.