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AIPS
2007
15 years 2 months ago
Angelic Semantics for High-Level Actions
High-level actions (HLAs) lie at the heart of hierarchical planning. Typically, an HLA admits multiple refinements into primitive action sequences. Correct descriptions of the ef...
Bhaskara Marthi, Stuart J. Russell, Jason Wolfe
94
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AIPS
2006
15 years 1 months ago
Goal Achievement in Partially Known, Partially Observable Domains
We present a decision making algorithm for agents that act in partially observable domains which they do not know fully. Making intelligent choices in such domains is very difficu...
Allen Chang, Eyal Amir
CI
2005
106views more  CI 2005»
14 years 11 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
ITC
2003
IEEE
168views Hardware» more  ITC 2003»
15 years 5 months ago
Agent Based DBIST/DBISR And Its Web/Wireless Management
This paper presents an attempt of using intelligent agents for testing and repairing a distributed system, whose elements may or may not have embedded BIST (Built-In Self-Test) an...
Liviu Miclea, Szilárd Enyedi, Gavril Todere...
ICRA
2005
IEEE
130views Robotics» more  ICRA 2005»
15 years 5 months ago
Motion Planning and Trajectory Tracking on 2-D Manifolds embedded in 3-D Workspaces
— In this paper we present a methodology that drives and stabilizes a robotic agent moving in a three dimensional environment, to a 2-dimensional manifold embedded in the workspa...
Xanthi Papageorgiou, Savvas G. Loizou, Kostas J. K...