Glossary

A Partially Observable Markov Decision Process (POMDP) is a key approach to modelling decision-making under uncertainty, employing a sensor model for system state predictions.

This brief definition refers to Particle Swarm Optimization, an algorithm inspired by nature’s flocking birds or schooling fish, used to iteratively optimize a problem by enhancing a candidate solution based on a specific quality measure.

Explore Pathfinding Algorithms, optimal tools used for identifying the quickest, least costly, or smoothest path between two specific points on a map or graph.