Proximal Policy OptimizationSchulman et al. suggest a new policy gradient-based reinforcement learning approach that maintains some of the advantages of trust region proximation optimization (TRPO) while also being much simpler to implement. The general concept involves an alte...Dec 22, 2022 · 9 min readdeepboltzer.codes
Introduction to Policy GradientsThis post will introduce the core concepts underlying various policy gradient algorithms. As opposed to previously introduced methods - which suffered from the curse of dimensionality - it is not necessary to analyze the full action space to update t...Dec 22, 2022 · 9 min readdeepboltzer.codes
What is Automated Content Discovery?Hackers are always looking for new and innovative ways to find content on the internet. Automated content discovery tools make this process a lot easier by automating the entire process and helping hackers find what they're looking for quickly and ea...Apr 5, 2022 · 4 min readdeepboltzer.codes
OSINT Content Discovery ExplainedOSINT (Open-Source Intelligence) content discovery is the process of locating and extracting content from publicly available sources. This can include websites, social media platforms, and other online resources. The aim of content discovery is to fi...Apr 4, 2022 · 3 min readdeepboltzer.codes
Getting started with Manual Content DiscoveryTo begin, we should ask, in the context of web application security, what is content? A file, video, photograph, backup, or a website feature are all examples of content. When we use the term "content discovery," we're not referring to things that ar...Mar 31, 2022 · 4 min readdeepboltzer.codes
