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» A Formal Model for Process Context Learning
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NIPS
1998
15 years 1 months ago
Risk Sensitive Reinforcement Learning
In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...
Ralph Neuneier, Oliver Mihatsch
ICRA
2010
IEEE
162views Robotics» more  ICRA 2010»
14 years 10 months ago
Adaptive multi-robot coordination: A game-theoretic perspective
Multi-robot systems researchers have been investigating adaptive coordination methods for improving spatial coordination in teams. Such methods adapt the coordination method to th...
Gal A. Kaminka, Dan Erusalimchik, Sarit Kraus
ICMLA
2009
14 years 9 months ago
Sensitivity Analysis of POMDP Value Functions
In sequential decision making under uncertainty, as in many other modeling endeavors, researchers observe a dynamical system and collect data measuring its behavior over time. The...
Stéphane Ross, Masoumeh T. Izadi, Mark Merc...
METMBS
2004
174views Mathematics» more  METMBS 2004»
15 years 1 months ago
Med-LIFE: A Diagnostic Aid for Medical Imagery
We present a system known as Med-LIFE (Medical application of Learning, Image Fusion, and Exploration) currently under development for medical image analysis. This pipelined syste...
Joshua R. New, Erion Hasanbelliu, Mario Aguilar
SIGIR
2004
ACM
15 years 5 months ago
Belief revision for adaptive information retrieval
Applying Belief Revision logic to model adaptive information retrieval is appealing since it provides a rigorous theoretical foundation to model partiality and uncertainty inheren...
Raymond Y. K. Lau, Peter Bruza, Dawei Song