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» Probabilistic Planning in the Graphplan Framework
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CORR
2010
Springer
147views Education» more  CORR 2010»
13 years 8 months ago
Learning Probabilistic Hierarchical Task Networks to Capture User Preferences
While much work on learning in planning focused on learning domain physics (i.e., action models), and search control knowledge, little attention has been paid towards learning use...
Nan Li, William Cushing, Subbarao Kambhampati, Sun...
AIPS
2007
13 years 11 months ago
Cost-Sharing Approximations for h+
Relaxations based on (either complete or partial) ignoring delete effects of the actions provide the basis for some seminal classical planning heuristics. However, the palette of ...
Vitaly Mirkis, Carmel Domshlak
ATAL
2010
Springer
13 years 10 months ago
Learning context conditions for BDI plan selection
An important drawback to the popular Belief, Desire, and Intentions (BDI) paradigm is that such systems include no element of learning from experience. In particular, the so-calle...
Dhirendra Singh, Sebastian Sardiña, Lin Pad...
KI
2001
Springer
14 years 1 months ago
Belief Update in the pGOLOG Framework
High-level controllers that operate robots in dynamic, uncertain domains are concerned with at least two reasoning tasks dealing with the effects of noisy sensors and effectors: T...
Henrik Grosskreutz, Gerhard Lakemeyer
IJCAI
2001
13 years 10 months ago
Complexity of Probabilistic Planning under Average Rewards
A general and expressive model of sequential decision making under uncertainty is provided by the Markov decision processes (MDPs) framework. Complex applications with very large ...
Jussi Rintanen