https://github.com/andi611/dqn-deep-q-network-atari-breakout-tensorflow

Training a vision-based agent with the Deep Q Learning Network (DQN) in Atari's Breakout environment, implementation in Tensorflow.

agent atari atari-breakout breakout deep-q-learning deep-q-learning-network deep-q-network deep-qlearning-algorithm deep-qnetworks dqn mlds mlds17-machine-learning-course mlds2018spring openai-gym openai-gym-agents openai-gym-environments openai-gym-solutions reinforcement-learning tensorflow tensorflow-models

Last synced: 15 Jul 2025

https://github.com/sharpbit/atari-breakout

Our final project for FCPS 2018 (CTY Carlisle 18.2)

atari atari-breakout breakout pygame python

Last synced: 02 Apr 2025

https://github.com/matteo4diani/deep-q-learning

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.

atari-2600 atari-breakout deep-learning deep-q-learning deep-reinforcement-learning openai-gym

Last synced: 17 Apr 2026

https://github.com/animesh-chourey/deep-q-network-reinforcement-learning

atari-breakout deep-q-network deep-reinforcement-learning keras openai-gym reinforcement-learning

Last synced: 10 May 2026