— We study the problem of generating continuous steering control for robots to completely cover a bounded region over a finite time. First, we pack the area by disks of minimum ...
Sequential von Neumann-Morgernstern (VM) games are a very general formalism for representing multi-agent interactions and planning problems in a variety of types of environments. ...
The Partially Observable Markov Decision Process (POMDP) model is explored for high level decision making for Unmanned Air Vehicles (UAVs). The type of UAV modeled is a flying mun...
Many artificial intelligence techniques rely on the notion ate" as an abstraction of the actual state of the nd an "operator" as an abstraction of the actions that ...
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...