We introduce a new class of Reinforcement Learning algorithms designed to operate in perceptual spaces containing images. They work by classifying the percepts using a computer vi...
— The problem of finding an optimal path in an uncertain graph arises in numerous applications, including network routing, path-planning for vehicles, and the control of finite...
Real-time obstacle avoidance and low-level navigation is a fundamental problem for autonomous animated creatures. Here we present an ethologically inspired approach to this proble...
Most sensors used for robot navigation fall into one of two broad categories: range sensors that give approximate distances to obstacles, and object-based sensors that detect and ...
When intelligent systems reason about complex problems with a large hierarchical classification space it is hard to evaluate system performance. For classification problems, differ...