This is Atari Breakout clone in Javascript HTML5
-
Updated
May 3, 2024 - JavaScript
#
atari-breakout
Here are 22 public repositories matching this topic...
Training a vision-based agent with the Deep Q Learning Network (DQN) in Atari's Breakout environment, implementation in Tensorflow.
agent reinforcement-learning tensorflow openai-gym dqn breakout atari deep-q-network tensorflow-models deep-qnetworks deep-q-learning openai-gym-solutions openai-gym-environments openai-gym-agents mlds17-machine-learning-course atari-breakout deep-qlearning-algorithm mlds2018spring mlds deep-q-learning-network
-
Updated
Dec 12, 2018 - Python
Play Atari(Breakout) Game by DRL - DQN, Noisy DQN and A3C
reinforcement-learning deep-reinforcement-learning openai-gym pytorch dqn a3c atari actor-critic asynchronous-advantage-actor-critic atari-breakout noisy-dqn
-
Updated
May 30, 2020 - Python
Atari Breakout programmed in Python and makes use of the Pygame library.
-
Updated
Jun 21, 2022 - Python
Keras implementation of deep-q-network for Atari breakout of OpenAI Gym.
deep-neural-networks reinforcement-learning tensorflow keras deep-reinforcement-learning openai-gym baselines atari-breakout
-
Updated
Apr 19, 2021 - Python
The first "game" I ever made using Unity 2D with my own personal twist on the games "Arkanoid" and "Breakout."
game video-games unity video-game game-development arkanoid game-design unity2d video-game-development atari-breakout unity2d-game arkanoid-game
-
Updated
Jan 9, 2024 - C#
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.
-
Updated
Aug 22, 2019 - Jupyter Notebook
Our final project for FCPS 2018 (CTY Carlisle 18.2)
-
Updated
Aug 2, 2018 - Python
Human-level control through deep reinforcement learning implementation
-
Updated
Mar 26, 2026 - Python
Arduino_Game_8x8_Matrix_Arcade_Atari_Breakout
-
Updated
May 29, 2020 - C++
A text based pong/breakout clone
game clone text pong string-manipulation breakout text-based mouse-tracking base jframe atari-breakout keyboard-controls paddleball jtextarea
-
Updated
Aug 31, 2020 - Java
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.
-
Updated
Oct 11, 2022 - Jupyter Notebook
Breakout
-
Updated
May 4, 2026 - Python
Deep reinforcement learning agent
machine-learning reinforcement-learning deep-learning neural-network tensorflow keras deep-reinforcement-learning openai-gym artificial-intelligence deep-q-network asynchronous-advantage-actor-critic deep-q-learning double-dqn dueling-network-architecture dueling-dqn dueling-q-networks reinforcement-learning-agent atari-breakout double-deep-q-network
-
Updated
Jun 27, 2018 - Python
Pytorch C++ implement simple RL algorithm on Atari
-
Updated
Mar 13, 2022 - C++
A TensorFlow and Gymnasium implementation of the Deep Q-Learning (DQN) algorithm, trained to play Atari Breakout directly from pixel inputs. Based on the Mnih et al. (2013) paper.
reinforcement-learning deep-learning tensorflow university-project deep-reinforcement-learning cnn course-project rl convolutional-neural-networks atari deep-q-network gymnasium bellman-equation deep-q-learning atari-breakout experience-replay gymnasium-environment
-
Updated
Nov 1, 2025 - Python
This repository trains and evaluates PPO and DQN agents on Atari Breakout. It provides a unified Stable-Baselines3 pipeline for training, evaluation, video recording, and performance comparison across multiple random seeds.
-
Updated
Apr 27, 2026 - Python
-
Updated
Aug 29, 2022 - Python
A simple clone of Atari Breakout using Python 3 and Pygame
-
Updated
Dec 5, 2020 - Python
Forked from gordicaleksa
-
Updated
Oct 30, 2023 - Python
Improve this page
Add a description, image, and links to the atari-breakout topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the atari-breakout topic, visit your repo's landing page and select "manage topics."