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IAT
2008
IEEE
15 years 11 months ago
Formalizing Multi-state Learning Dynamics
This paper extends the link between evolutionary game theory and multi-agent reinforcement learning to multistate games. In previous work, we introduced piecewise replicator dynam...
Daniel Hennes, Karl Tuyls, Matthias Rauterberg
SASO
2008
IEEE
15 years 10 months ago
Self-Adaptive Dissemination of Data in Dynamic Sensor Networks
The distribution of data in large dynamic wireless sensor networks presents a difficult problem due to node mobility, link failures, and traffic congestion. In this paper, we pr...
David Dorsey, Bjorn Jay Carandang, Moshe Kam, Chri...
ICRA
2007
IEEE
156views Robotics» more  ICRA 2007»
15 years 10 months ago
Multipartite RRTs for Rapid Replanning in Dynamic Environments
Abstract— The Rapidly-exploring Random Tree (RRT) algorithm has found widespread use in the field of robot motion planning because it provides a single-shot, probabilistically c...
Matthew Zucker, James J. Kuffner, Michael S. Brani...
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
15 years 10 months ago
Two adaptive mutation operators for optima tracking in dynamic optimization problems with evolution strategies
The dynamic optimization problem concerns finding an optimum in a changing environment. In the tracking problem, the optimizer should be able to follow the optimum’s changes ov...
Claudio Rossi, Antonio Barrientos, Jaime del Cerro
IPPS
2006
IEEE
15 years 10 months ago
Shubac: a searchable P2P network utilizing dynamic paths for client/server anonymity
A general approach to achieve anonymity on P2P networks is to construct an indirect path between client and server for each data transfer. The indirection, together with randomnes...
A. Brodie, Cheng-Zhong Xu, Weisong Shi