Playing Atari Breakout Game with Reinforcement Learning (DQN , Deep Q Learning)

Breakout is a game created with Python 3, using the module PyGame. It is a ball game where you bounce the ball by moving the paddle. Eliminate all the blocks to win.

A quantum version of the Classic Breakout Game to learn basics of quantum computing in a easy way!

Assignments for Course COL774 - Machine Learning at IIT Delhi

Reinforcement learning project for Atari Breakout

An implementation of the Atari game Breakout, where an AI plays the game using Deep Q-Network (DQN) learning.

reinforcement learning examples

A simple Breakout game made with Pygame

Breakout game written in Python

This is a classic Brick Breaker (Breakout-style) arcade game developed using Python and the Pygame library. Control the paddle, break all the bricks, and try not to miss the ball!

astari电玩游戏ai（dqn强化学习）

Breakout game for an art installation. Developed in Python using Pygame.

My attempt to copy the classic game with the help of PyGame library.

A breakout game written with the Curses library in Python

Clone of Atari Breakout coded in Python.

Using Deep Reinforcement Learning to play Breakout game

Very simple example of implementing basics of a game using only Tkinter which comes with python installation.

Izumi & Lilo's code for the arcade game 'Breakout' using pygame

The code is a Python implementation of the classic Breakout game using Turtle graphics. It features a bouncing ball, a movable paddle, and destructible bricks. The player controls the paddle to prevent the ball from hitting the ground while aiming to break all the bricks on the screen.