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.

Our final project for FCPS 2018 (CTY Carlisle 18.2)

Human-level control through deep reinforcement learning implementation

Deep reinforcement learning agent

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.

A simple clone of Atari Breakout using Python 3 and Pygame

Forked from gordicaleksa

Simpel breakout game made in python using pygame

DQN for Atari breakout

🎮 Train a Deep Q-Learning agent using TensorFlow to master Atari Breakout with efficient experience replay and modular architecture for easy customization.