Deep Q-Learning implementation of the Deep Q Learning algorithm (DQL)

The DQN (Deep Q-Network) algorithm was developed by DeepMind in 2015. It was able to solve a wide range of Atari games (some to superhuman level) by combining reinforcement learning and deep neural networks at scale. The algorithm was developed by enhancing a classic RL algorithm called Q-Learning with deep neural networks and a technique called experience replay.

Learn more about the Deep Q-Network algorithm at