Deep Q-Network Image Processing and Environment Management - Reinforcement Learning Code Project

Deep Q-Network Image Processing and Environment Management - Reinforcement Learning Code Project

Develop a deep Q-network to master the cart and pole problem in this 22-minute video tutorial on reinforcement learning. Learn how to manage the environment and process images for input to the deep Q-network. Explore concepts from Richard S. Sutton and Andrew Bartow's "Reinforcement Learning: An Introduction" and DeepMind's "Playing Atari with Deep Reinforcement Learning" paper. Gain practical coding experience in image processing and environment management for reinforcement learning applications.