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» Planning with predictive state representations
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AIPS
1996
13 years 11 months ago
A Candidate Set Based Analysis of Subgoal Interactions in Conjunctive Goal Planning
Subgoal interactions have received considerable attention in AI Planning. Earlier analyses by Korf [11] and Joslin and Roach [6] were done in terms of the topology of the space of...
Subbarao Kambhampati, Laurie H. Ihrig, Biplav Sriv...
RAS
2008
84views more  RAS 2008»
13 years 9 months ago
Monitoring the execution of robot plans using semantic knowledge
Even the best laid plans can fail, and robot plans executed in real world domains tend to do so often. The ability of a robot to reliably monitor the execution of plans and detect...
Abdelbaki Bouguerra, Lars Karlsson, Alessandro Saf...
ICRA
1995
IEEE
79views Robotics» more  ICRA 1995»
14 years 1 months ago
Learning to predict Resistive Forces During Robotic Excavation
— Few robot tasks require as forceful an interaction with the world as excavation. In order to effectively plan its actions, our robot excavator requires a method that allows it ...
Sanjiv Singh
ICMLA
2008
13 years 11 months ago
Prediction-Directed Compression of POMDPs
High dimensionality of belief space in Partially Observable Markov Decision Processes (POMDPs) is one of the major causes that severely restricts the applicability of this model. ...
Abdeslam Boularias, Masoumeh T. Izadi, Brahim Chai...
AAAI
1996
13 years 11 months ago
Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations
: Partially-observable Markov decision processes provide a very general model for decision-theoretic planning problems, allowing the trade-offs between various courses of actions t...
Craig Boutilier, David Poole