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» Planning with Partial Preference Models
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ATAL
2010
Springer
13 years 8 months ago
Incremental plan aggregation for generating policies in MDPs
Despite the recent advances in planning with MDPs, the problem of generating good policies is still hard. This paper describes a way to generate policies in MDPs by (1) determiniz...
Florent Teichteil-Königsbuch, Ugur Kuter, Gui...
IJCAI
2007
13 years 10 months ago
State Space Search for Risk-Averse Agents
We investigate search problems under risk in statespace graphs, with the aim of finding optimal paths for risk-averse agents. We consider problems where uncertainty is due to the...
Patrice Perny, Olivier Spanjaard, Louis-Xavier Sto...
IJRR
2010
162views more  IJRR 2010»
13 years 7 months ago
Planning under Uncertainty for Robotic Tasks with Mixed Observability
Partially observable Markov decision processes (POMDPs) provide a principled, general framework for robot motion planning in uncertain and dynamic environments. They have been app...
Sylvie C. W. Ong, Shao Wei Png, David Hsu, Wee Sun...
MR
2007
173views Robotics» more  MR 2007»
13 years 8 months ago
A maintenance planning and business case development model for the application of prognostics and health management (PHM) to ele
- This paper presents a model that enables the optimal interpretation of Prognostics and Health Management (PHM) results for electronic systems. In this context, optimal interpreta...
Peter A. Sandborn, Chris Wilkinson
ICML
1990
IEEE
14 years 15 days ago
Explanations of Empirically Derived Reactive Plans
Given an adequate simulation model of the task environment and payoff function that measures the quality of partially successful plans, competition-based heuristics such as geneti...
Diana F. Gordon, John J. Grefenstette