This program aims to reunite researchers across disciplines that have played a role in developing the theory of reinforcement learning. It will review past developments and identify promising directions of research, with an emphasis on addressing existing open problems, ranging from the design of efficient, scalable algorithms for exploration to how to control learning and planning. It also aims to deepen the understanding of model-free vs. model-based learning and control, and the design of efficient methods to exploit structure and adapt to easier environments.
This article sheds light on how warnings work in GCC, why some warnings are false, and when warnings might not be output. Also discussed are the trade-offs made when implementing checks in GCC.
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.
Use a computer? Game on a PC? Ever wonder how those graphics get so pretty? Let's go inside your high-end graphics card with this animation. Subscribe for mo...
The topic of how accessible it is for newbies and seasoned developers alike to learn CSS has been gaining steam as the complexity of the tools around it
This post describes my outline/structure for a technical paper. I have found a fairly specific structure works best for abstracts and introductions. For the
R. Sharipov. (2004)cite arxiv:math/0412421Comment: The textbook, AmSTeX, 132 pages, amsppt style, prepared for double side printing on letter size paper.
R. Sharipov. (2004)cite arxiv:math/0405323Comment: The textbook, AmSTeX, 143 pages, amsppt style, prepared for double side printing on letter size paper.
A. Slivkins. (2019)cite arxiv:1904.07272Comment: The manuscript is complete, but comments are very welcome! To be published with Foundations and Trends in Machine Learning.