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» Representations of Decision-Theoretic Planning Tasks
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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
KI
2001
Springer
13 years 12 months ago
Belief Update in the pGOLOG Framework
High-level controllers that operate robots in dynamic, uncertain domains are concerned with at least two reasoning tasks dealing with the effects of noisy sensors and effectors: T...
Henrik Grosskreutz, Gerhard Lakemeyer
IJIS
2002
112views more  IJIS 2002»
13 years 7 months ago
Integrating fuzzy topological maps and fuzzy geometric maps for behavior-based robots
ior-based robots, planning is necessary to elaborate abstract plans that resolve complex navigational tasks. Usually maps of the environment are used to plan the robot motion and t...
Eugenio Aguirre, Antonio González
PRICAI
2004
Springer
14 years 25 days ago
Shape Matching for Robot Mapping
We present a novel geometric model for robot mapping based on shape. Shape similarity measure and matching techniques originating from computer vision are specially redesigned for ...
Diedrich Wolter, Longin Jan Latecki
LAMAS
2005
Springer
14 years 1 months ago
Multi-agent Relational Reinforcement Learning
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice ...