Merry Christmas from CyberSEO!
The new version of the CyberSEO Pro core loader is more secure and stable. The most important thing that is has a self-repairing mechanism, so if your CyberSEO Pro core…
Public RSS feed catalog
Many CyberSEO Pro customers use the plugin to make their own news digest sites like Google News, Bing News etc and looking for the good RSS feeds for their specific…
Why featured image appears twice in CyberSEO posts and how to fix it?
Delving into the world of CyberSEO, new users often find themselves grappling with a peculiar conundrum: the appearance of duplicate images in a single post. Is it a bug?
WordPress site security and CyberSEO Pro
Do not neglect these simple and effective security things. It will help to secure you and your business against many problems.
How to get Facebook session c_user and xs
How to get Facebook user ID (xs) and user session ID (c_user), which is required to automatically import Facebook pages, profiles and groups into WordPress.
What is Spintax and how to use it?
Spintax is a list of synonym groups (raw text lines). Each group consists of a set of synonym words or sentences, separated by the pipe character | and enclosed inside…
How to get Instagram session ID
In this tutorial you will learn how to get an Instagram session ID, which is required to automatically import Instagram user posts into WordPress by means of the CyberSEO Pro…
Keeping Learning-Based Control Safe by Regulating Distributional Shift
To regulate the distribution shift experience by learning-based controllers, we seek a mechanism for constraining the agent to regions of high data density throughout its trajectory (left). Here, we present…
Reverse engineering the NTK: towards first-principles architecture design
Deep neural networks have enabled technological wonders ranging from voice recognition to machine transition to protein engineering, but their design and application is nonetheless notoriously unprincipled. The development of tools…
Why do Policy Gradient Methods work so well in Cooperative MARL? Evidence from Policy Representation
In cooperative multi-agent reinforcement learning (MARL), due to its on-policy nature, policy gradient (PG) methods are typically believed to be less sample efficient than value decomposition (VD) methods, which are…