This is Atari Breakout clone in Javascript HTML5
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Updated
May 3, 2024 - JavaScript
This is Atari Breakout clone in Javascript HTML5
Training a vision-based agent with the Deep Q Learning Network (DQN) in Atari's Breakout environment, implementation in Tensorflow.
Play Atari(Breakout) Game by DRL - DQN, Noisy DQN and A3C
Atari Breakout programmed in Python and makes use of the Pygame library.
Keras implementation of deep-q-network for Atari breakout of OpenAI Gym.
A program to train an agent on a simple tile based environment using deep Q-networks (Neural Networks and Q-learning) and a program to train an agent to play the Breakout ATARI game.
The first "game" I ever made using Unity 2D with my own personal twist on the games "Arkanoid" and "Breakout."
Our final project for FCPS 2018 (CTY Carlisle 18.2)
A text based pong/breakout clone
Arduino_Game_8x8_Matrix_Arcade_Atari_Breakout
An implementation of Deep Q Learning from scratch with PyTorch and OpenAI gym on the ATARI environment (Breakout). The author of this code is Bryan Thornbury (@brthor) and all credit goes to him. I did some minor adjustments needed to keep up with numpy / gym and added some QoL improvements.
Deep reinforcement learning agent
Pytorch C++ implement simple RL algorithm on Atari
Forked from gordicaleksa
A simple clone of Atari Breakout using Python 3 and Pygame
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