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» Agent programming via planning programs
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AAAI
2000
15 years 3 months ago
Visual Event Classification via Force Dynamics
This paper presents an implemented system, called LEONARD, that classifies simple spatial motion events, such as pick up and put down, from video input. Unlike previous systems th...
Jeffrey Mark Siskind
AAAI
2006
15 years 3 months ago
Robust Support Vector Machine Training via Convex Outlier Ablation
One of the well known risks of large margin training methods, such as boosting and support vector machines (SVMs), is their sensitivity to outliers. These risks are normally mitig...
Linli Xu, Koby Crammer, Dale Schuurmans
AAAI
2004
15 years 3 months ago
Adding Time and Intervals to Procedural and Hierarchical Control Specifications
In this paper we introduce the language Golog+HTNT I for specifying control using procedural and HTN-based constructs together with deadlines and time restrictions. Our language s...
Tran Cao Son, Chitta Baral, Le-Chi Tuan
161
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LOGCOM
1998
178views more  LOGCOM 1998»
15 years 2 months ago
Applying the Mu-Calculus in Planning and Reasoning about Action
Planning algorithms have traditionally been geared toward achievement goals in single-agent environments. Such algorithms essentially produce plans to reach one of a specified se...
Munindar P. Singh
110
Voted
AAAI
1998
15 years 3 months ago
Using Caching to Solve Larger Probabilistic Planning Problems
Probabilistic planning algorithms seek e ective plans for large, stochastic domains. maxplan is a recently developed algorithm that converts a planning problem into an E-Majsat pr...
Stephen M. Majercik, Michael L. Littman