Playing Atari Breakout Game with Reinforcement Learning (DQN , Deep Q Learning)
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Updated
Sep 27, 2019 - Python
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
An implementation of the Atari game Breakout, where an AI plays the game using Deep Q-Network (DQN) learning.
Reinforcement learning project for Atari Breakout
reinforcement learning examples
BreakoutAI - An AI Model to Yield High Score in Game "Breakout"
A simple Breakout game made with 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.
astari电玩游戏ai(dqn强化学习)
Clone of Atari Breakout coded in Python.
Very simple example of implementing basics of a game using only Tkinter which comes with python installation.
My attempt to copy the classic game with the help of PyGame library.
🧱 🏓 A version of Breakout made with PyGame
Breakout game for an art installation. Developed in Python using Pygame.
Izumi & Lilo's code for the arcade game 'Breakout' using pygame
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