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ICRA
2006
IEEE
217views Robotics» more  ICRA 2006»
14 years 1 months ago
Complete Coverage Control for Nonholonomic Mobile Robots in Dynamic Environments
— 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 ...
Yi Guo, Mohanakrishnan Balakrishnan
AMAI
2004
Springer
13 years 7 months ago
Representing von Neumann-Morgenstern Games in the Situation Calculus
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. ...
Oliver Schulte, James P. Delgrande
CAINE
2003
13 years 9 months ago
POMDP Planning for High Level UAV Decisions: Search vs. Strike
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...
Doug Schesvold, Jingpeng Tang, Benzir Md Ahmed, Ka...
WSC
2000
13 years 9 months ago
Using simulation and critical points to define states in continuous search spaces
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 ...
Marc S. Atkin, Paul R. Cohen
ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
14 years 1 months ago
Model-Based Reinforcement Learning in a Complex Domain
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...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu