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» Interactive optimization in cooperative environments
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GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
14 years 4 months ago
Environmental robustness in multi-agent teams
Evolution has proven to be an effective method of training heterogeneous multi-agent teams of autonomous agents to explore unknown environments. Autonomous, heterogeneous agents ...
Terence Soule, Robert B. Heckendorn
ATAL
2006
Springer
14 years 1 months ago
Exact solutions of interactive POMDPs using behavioral equivalence
We present a method for transforming the infinite interactive state space of interactive POMDPs (I-POMDPs) into a finite one, thereby enabling the computation of exact solutions. ...
Bharaneedharan Rathnasabapathy, Prashant Doshi, Pi...
GECCO
2005
Springer
150views Optimization» more  GECCO 2005»
14 years 3 months ago
Population-based incremental learning with memory scheme for changing environments
In recent years there has been a growing interest in studying evolutionary algorithms for dynamic optimization problems due to its importance in real world applications. Several a...
Shengxiang Yang
ICRA
1999
IEEE
96views Robotics» more  ICRA 1999»
14 years 1 months ago
Interactive Manipulation of Articulated Objects with Geometry Awareness
Techniques for interactive 3D manipulation of articulated objects in cluttered environments should be geometricallyaware, going beyond basic inverse or forward kinematics to allow...
Min-Hyung Choi, James F. Cremer
IFIP13
2004
13 years 11 months ago
A Sampling Model to Ascertain Automation-Induced Complacency in Multi-Task Environments
: This article discusses the development of a model that defines the optimal sampling behaviour of operators in a multi-task flight simulation, where one of the tasks is automated....
Nasrine Bagheri, Greg A. Jamieson