A tutorial that teaches you everything it takes to render 3D graphics with the Vulkan API. It covers everything from Windows/Linux setup to rendering and debugging.
This is a PyTorch implementation/tutorial of Deep Q Networks (DQN) from paper Playing Atari with Deep Reinforcement Learning. This includes dueling network architecture, a prioritized replay buffer and double-Q-network training.
A. Cimatti, F. Fraternali, and C. Nipoti. (2019)cite arxiv:1912.06216Comment: 17 pages, 3 figures, first introductory chapter of the textbook published by Cambridge University Press. For more information https://decdb4ae-c884-4971-9114-5f11b6929fd9.filesusr.com/ugd/f44359_26d2207ea96e4f359636feb5b7473336.pdf.
G. Bauch, and G. Dietl. (October 2008)Tutorial at the 4th Annual IEEE International Conference on Wireless and Mobile Computing, Networking, and Communications, WiMob 2008, Avignon, France.
G. Bauch, and G. Dietl. (December 2007)Tutorial at the 10th International Symposium on Wireless Personal Multimedia Communications, WPMC 2007, Jaipur, India, December 2007.