Developed and implemented multiple reinforcement learning agents (Q-learning and SARSA) for the Text Flappy Bird environment, conducting comprehensive performance analysis and parameter optimization. The project achieved superior game performance compared to random baseline agents, with Q-learning demonstrating optimal results through systematic hyperparameter tuning and comparative analysis of learning algorithms.