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» Planning, Learning, and Executing in Autonomous Systems
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CI
2005
106views more  CI 2005»
13 years 7 months ago
Incremental Learning of Procedural Planning Knowledge in Challenging Environments
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
Douglas J. Pearson, John E. Laird
ECML
2005
Springer
14 years 1 months ago
Machine Learning of Plan Robustness Knowledge About Instances
Abstract. Classical planning domain representations assume all the objects from one type are exactly the same. But when solving problems in the real world systems, the execution of...
Sergio Jiménez, Fernando Fernández, ...
AIPS
2009
13 years 9 months ago
Flexible Execution of Plans with Choice
Dynamic plan execution strategies allow an autonomous agent to respond to uncertainties while improving robustness and reducing the need for an overly conservative plan. Executive...
Patrick R. Conrad, Julie A. Shah, Brian C. William...
AGENTS
1998
Springer
14 years 2 days ago
Learning Situation-Dependent Costs: Improving Planning from Probabilistic Robot Execution
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
Karen Zita Haigh, Manuela M. Veloso
ATAL
2010
Springer
13 years 9 months ago
Learning multirobot joint action plans from simultaneous task execution demonstrations
The central problem of designing intelligent robot systems which learn by demonstrations of desired behaviour has been largely studied within the field of robotics. Numerous archi...
Murilo Fernandes Martins, Yiannis Demiris