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» Factored Planning: How, When, and When Not
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112
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ATAL
2010
Springer
15 years 3 months ago
Dynamic generation and execution of human aware navigation plans
d Abstract) Thibault Kruse, Alexandra Kirsch, E. Akin Sisbot, Rachid Alami A robot moving in the presence of humans is highly constrained by the dynamic environment and the need t...
Thibault Kruse, Alexandra Kirsch, Emrah Akin Sisbo...
ILP
2000
Springer
15 years 5 months ago
Using ILP to Improve Planning in Hierarchical Reinforcement Learning
Hierarchical reinforcement learning has been proposed as a solution to the problem of scaling up reinforcement learning. The RLTOPs Hierarchical Reinforcement Learning System is an...
Mark D. Reid, Malcolm R. K. Ryan
93
Voted
JCDL
2010
ACM
126views Education» more  JCDL 2010»
15 years 2 months ago
Discovering Australia's research data
Access to data crucial to research is often slow and difficult. When research problems cross disciplinary boundaries, problems are exacerbated. This paper argues that it is import...
Stefanie Kethers, Xiaobin Shen, Andrew E. Treloar,...
BMCBI
2007
168views more  BMCBI 2007»
15 years 1 months ago
Bayesian model-based inference of transcription factor activity
Background: In many approaches to the inference and modeling of regulatory interactions using microarray data, the expression of the gene coding for the transcription factor is co...
Simon Rogers, Raya Khanin, Mark Girolami
AIPS
2006
15 years 3 months ago
Towards Strong Cyclic Planning under Partial Observability
Strong Cyclic Planning aims at generating iterative plans that only allow loops so far as there is a chance to reach the goal. The problem is already significantly complex for ful...
Piergiorgio Bertoli, Alessandro Cimatti, Marco Pis...