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» Learning Behavior Models for Hybrid Timed Systems
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114
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ARCS
2008
Springer
15 years 2 months ago
How Efficient are Creatures with Time-shuffled Behaviors?
: The task of the creatures in the "creatures' exploration problem" is to visit all empty cells in an environment with a minimum number of steps. We have analyzed th...
Patrick Ediger, Rolf Hoffmann, Mathias Halbach
GIS
2009
ACM
15 years 5 months ago
Machine learning approach to report prioritization with an application to travel time dissemination
This paper looks at the problem of data prioritization, commonly found in mobile ad-hoc networks. The proposed general solution uses a machine learning approach in order to learn ...
Piotr Szczurek, Bo Xu, Jie Lin, Ouri Wolfson
JFR
2006
108views more  JFR 2006»
15 years 19 days ago
Learning in a hierarchical control system: 4D/RCS in the DARPA LAGR program
The Defense Applied Research Projects Agency (DARPA) Learning Applied to Ground Vehicles (LAGR) program aims to develop algorithms for autonomous vehicle navigation that learn how...
James S. Albus, Roger Bostelman, Tommy Chang, Tsai...
117
Voted
AIIDE
2009
15 years 1 months ago
Improving Offensive Performance Through Opponent Modeling
Although in theory opponent modeling can be useful in any adversarial domain, in practice it is both difficult to do accurately and to use effectively to improve game play. In thi...
Kennard Laviers, Gita Sukthankar, David W. Aha, Ma...
134
Voted
PODC
2009
ACM
16 years 1 months ago
Load balancing without regret in the bulletin board model
We analyze the performance of protocols for load balancing in distributed systems based on no-regret algorithms from online learning theory. These protocols treat load balancing a...
Éva Tardos, Georgios Piliouras, Robert D. K...