Reinforcement Learning Algorithms with Python

The DQN algorithm

The introduction of a replay buffer and of a separate target network in a deep Q-learning algorithm has been able to control Atari games (such as Space Invaders, Pong, and Breakout) from nothing but images, a reward, and a terminal signal. DQN learns completely end to end with a combination of CNN and fully connected neural networks.

DQN has been trained separately on 49 Atari games with the same algorithm, network architecture, and hyperparameters. It performed better than all the previous algorithms, achieving a level comparable to or better than professional gamers on many games. The Atari games are not easy to solve and many of them demand complex planning strategies. Indeed, a few of them (such as the well-known Montezuma's ...