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» Real-World Limits to Algorithmic Intelligence
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ATAL
2009
Springer
15 years 4 months ago
Improving adjustable autonomy strategies for time-critical domains
As agents begin to perform complex tasks alongside humans as collaborative teammates, it becomes crucial that the resulting humanmultiagent teams adapt to time-critical domains. I...
Nathan Schurr, Janusz Marecki, Milind Tambe
93
Voted
ATAL
2009
Springer
15 years 4 months ago
Effective solutions for real-world Stackelberg games: when agents must deal with human uncertainties
How do we build multiagent algorithms for agent interactions with human adversaries? Stackelberg games are natural models for many important applications that involve human intera...
James Pita, Manish Jain, Fernando Ordó&ntil...
76
Voted
ICTAI
1992
IEEE
15 years 1 months ago
Automated Parameter Tuning in Stereo Vision Under Time Constraints
This paper presents a method for tuning parameters under a fixed time constraint for a general binocular stereo-vision algorithm. A major difficulty in stereo vision, as well as i...
Steven R. Schwartz, Benjamin W. Wah
AAAI
2008
14 years 12 months ago
Clustering via Random Walk Hitting Time on Directed Graphs
In this paper, we present a general data clustering algorithm which is based on the asymmetric pairwise measure of Markov random walk hitting time on directed graphs. Unlike tradi...
Mo Chen, Jianzhuang Liu, Xiaoou Tang
AIPS
2000
14 years 11 months ago
Vision-Servoed Localization and Behavior-Based Planning for an Autonomous Quadruped Legged Robot
Planning for real robots to act in dynamic and uncertain environments is a challenging problem. A complete model of the world is not viable and an integration of deliberation and ...
Manuela M. Veloso, Elly Winner, Scott Lenser, Jame...