Explore advanced deep reinforcement learning concepts in this comprehensive lecture covering policy gradient methods, the REINFORCE algorithm, and practical applications in gaming AI, including Atari games and the game of Go. Learn how deep learning techniques are implemented to create intelligent agents capable of mastering complex game environments through hands-on demonstrations and theoretical explanations of policy-based approaches to reinforcement learning.