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» A Goal-based Approach to Policy Refinement
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FLAIRS
2004
13 years 6 months ago
State Space Reduction For Hierarchical Reinforcement Learning
er provides new techniques for abstracting the state space of a Markov Decision Process (MDP). These techniques extend one of the recent minimization models, known as -reduction, ...
Mehran Asadi, Manfred Huber
ACMSE
2000
ACM
13 years 9 months ago
Hyperscenarios: a framework for active narrative
Scenarios are narratives that illustrate future possibilities, such as proposed systems or plans, and help policy makers and designers choose among alternative courses of action. ...
Reginald L. Hobbs, Colin Potts
ADC
2004
Springer
109views Database» more  ADC 2004»
13 years 9 months ago
A Model of Dynamic Resource Allocation in Workflow Systems
Current collaborative work environments are characterized by dynamically changing organizational structures. Although there have been several efforts to refine work distribution, ...
Guido Governatori, Antonino Rotolo, Shazia Wasim S...
FORMATS
2007
Springer
13 years 9 months ago
Combining Formal Verification with Observed System Execution Behavior to Tune System Parameters
Resource limited DRE (Distributed Real-time Embedded) systems can benefit greatly from dynamic adaptation of system parameters. We propose a novel approach that employs iterative t...
Minyoung Kim, Mark-Oliver Stehr, Carolyn L. Talcot...
AAAI
2010
13 years 5 months ago
Biped Walk Learning Through Playback and Corrective Demonstration
Developing a robust, flexible, closed-loop walking algorithm for a humanoid robot is a challenging task due to the complex dynamics of the general biped walk. Common analytical ap...
Çetin Meriçli, Manuela M. Veloso