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» Complexity of Planning with Partial Observability
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CAINE
2003
13 years 10 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...
JASSS
2002
85views more  JASSS 2002»
13 years 8 months ago
"Methodological Implications of Complex Systems Approaches to Sociality": Some Further Remarks
In a paper published in JASSS, Chris Goldspink discusses the methodological implications of complex systems approaches to the modeling of social systems. Like others before him Go...
Kurt A. Richardson
AI
2007
Springer
13 years 9 months ago
Learning action models from plan examples using weighted MAX-SAT
AI planning requires the definition of action models using a formal action and plan description language, such as the standard Planning Domain Definition Language (PDDL), as inp...
Qiang Yang, Kangheng Wu, Yunfei Jiang
CDC
2009
IEEE
136views Control Systems» more  CDC 2009»
14 years 1 months ago
Verification of K-step opacity and analysis of its complexity
In this paper, we analyze the verification of K-step opacity in discrete event systems that are modeled as (possibly non-deterministic) finite automata with partial observation on ...
Anooshiravan Saboori, Christoforos N. Hadjicostis
ICRA
2009
IEEE
137views Robotics» more  ICRA 2009»
14 years 3 months ago
Unsupervised learning of 3D object models from partial views
— We present an algorithm for learning 3D object models from partial object observations. The input to our algorithm is a sequence of 3D laser range scans. Models learned from th...
Michael Ruhnke, Bastian Steder, Giorgio Grisetti, ...