We seek to apply reinforcement learning algorithms to the game Flappy Bird. We implement SARSA and Q-Learning with some modifications such as -greedy policy, discretization and …

le game - Flappy Bird. It involves navi-gating a bird throug a bunch of obstacles. Though, this problem can be solved using naive RL implementation, it requires good feature definitions

In this project, we are going to use various model-free learning algorithms to train an agent playing flappy bird and compare the performance of those learning algorithms including …

In this paper, a special type of reinforcement learning, Q-Learning, was applied to the popular mobile game Flappy Bird. The Q-Learning algorithm was tested on two different environments.

This unit introduces students to the programming concept of event handling, which is the primary mechanism underpinning the popular game, Flappy Bird. It starts off with a video that explains …

Challenge your students to complete the Make a Flappy Game tutorial. For middle and high school students, we suggest you choose tutorials that allow free play and creation of apps or …

Flappy Bird is a simple, yet highly addictive mobile game that was released in 2013. The objective of the game is to gain as many points as possible. Due to its simplicity and the competition …