This post continues the ideas explored in Part I: Super Agents and Multi-Agent Communication and Part II: Swarm Intelligence. Those posts covered how agents coordinate within a …
This is Part II of a two-part series on multi-agent AI architecture. Part I covered the super agent pattern: centralized orchestration, structured communication, and a single …
This is Part I of a two-part series on multi-agent AI architecture. This post covers centralized orchestration. Part II explores the opposite approach: swarm intelligence. …
Inverse reinforcement learning (IRL) asks a different question from classical RL: instead of assuming a reward function and learning a policy, you observe expert behavior and infer …
The Markov Decision Process (MDP) is the standard formal object for sequential decision-making under uncertainty. It separates problem definition — states, actions, how the world …
I spent years implementing LMS-based equalizers and echo cancellers in telecommunications. Only later did I fully appreciate what I had been doing mathematically: the same family …