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ICMLA
2007
15 years 8 days ago
Learning to evaluate conditional partial plans
In our research we study rational agents which learn how to choose the best conditional, partial plan in any situation. The agent uses an incomplete symbolic inference engine, emp...
Slawomir Nowaczyk, Jacek Malec
AIPS
2010
15 years 1 months ago
Classical Planning in MDP Heuristics: with a Little Help from Generalization
Heuristic functions make MDP solvers practical by reducing their time and memory requirements. Some of the most effective heuristics (e.g., the FF heuristic function) first determ...
Andrey Kolobov, Mausam, Daniel S. Weld
AIPS
2011
14 years 2 months ago
Planning to Perceive: Exploiting Mobility for Robust Object Detection
Consider the task of a mobile robot autonomously navigating through an environment while detecting and mapping objects of interest using a noisy object detector. The robot must re...
Javier Vélez, Garrett Hemann, Albert S. Hua...
IJRR
2010
162views more  IJRR 2010»
14 years 9 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...
WSC
1997
15 years 5 days ago
A Framework for Incorporating Dynamic Strategies in Earth-Moving Simulations
Earthwork projects involve moving specific amounts of earth from a discrete set of source locations to a discrete set of destinations. Constructors use different methods and equip...
Govindan Kannan, Julio C. Martínez, Michael...