// research notes & tutorials
A curated set of technical notes spanning air traffic control, aircraft dynamics & control, decision-making under uncertainty, multi-agent systems, and reinforcement learning, with reproducible experiments and implementation-focused walkthroughs.
// series
// latest notes
The one idea behind every diffusion model — gradually destroy structure with noise, then learn to undo it — with an interactive forward-diffusion explorable to build intuition.
The Gaussian is the workhorse of generative modeling. Here's everything you need — mean, covariance, and the one trick (x = μ + σε) that makes diffusion trainable.
How Air Traffic Control keeps order in a crowded sky: separation, sequencing, and flow management viewed as a predictive, safety-critical control system.