Abstract: Existing model predictive control (MPC) methods lack online learning capability in complex environments. Reinforcement learning (RL) requires a lot of data and computing resources to obtain ...

I’m experiencing a scaling issue when using Java-based GUI applications on Hyprland (Wayland). Applications like BurpSuite,ghidra, JADX-GUI, and JD-GUI appear over-zoomed or too large, making the ...

A new framework from Stanford University and SambaNova addresses a critical challenge in building robust AI agents: context engineering. Called Agentic Context Engineering (ACE), the framework ...

How does learning work? Encode, store, retrieve: Take it in, find a place for it, pull it out when you need it. If you can’t retrieve information, you haven’t really learned it. So since we all learn ...

Most companies are racing to implement AI, but the key to productivity lies in tapping your Absolute Intelligence — our own internal potential and the knowledge to tap into it. Over-reliance on AI can ...

Community driven content discussing all aspects of software development from DevOps to design patterns. This exam measures your ability to apply machine learning knowledge in the AWS environment. It ...

Imagine a stadium pulsing with the energy of tens of thousands of sports fans when a song hits, and the place erupts. That's the sort of song Rebecca Lucy Taylor, better known as Self Esteem, has ...

Alex Connock does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...

We investigate Reinforcement Learning (RL) on Agentic search tasks without explicit gathering information from external search engines, e.g., LLMs, web engines. Previous work leverage external search ...

Why do some people keep making the same harmful choices, even when they know better? A global study has revealed three distinct decision-making types and why punishment doesn’t work for everyone. When ...