Active Inference Evolves: Deeper Planning and Real-Time Dirichlet Learning

This deep dive into POMDPs transitions Active Inference from theoretical templates to practical, sophisticated agents capable of long-term tree search and online learning. By implementing Dirichlet updates and hierarchical recursion, developers can build AI that adapts its world model and plans through uncertainty more effectively than naive greedy algorithms.