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» New algorithms of the Q-learning type
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ICPP
2005
IEEE
14 years 2 months ago
Push-Pull: Guided Search DAG Scheduling for Heterogeneous Clusters
Consider a heterogeneous cluster system, consisting of processors with varying processing capabilities and network links with varying bandwidths. Given a DAG application to be sch...
Sang Cheol Kim, Sunggu Lee
FOCS
1994
IEEE
14 years 1 months ago
The Power of Team Exploration: Two Robots Can Learn Unlabeled Directed Graphs
We show that two cooperating robots can learn exactly any strongly-connected directed graph with n indistinguishable nodes in expected time polynomial in n. We introduce a new typ...
Michael A. Bender, Donna K. Slonim
ARCS
2008
Springer
13 years 11 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
NIPS
2001
13 years 10 months ago
Unsupervised Learning of Human Motion Models
This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
Yang Song, Luis Goncalves, Pietro Perona
ATAL
2007
Springer
14 years 3 months ago
Distributed task allocation in social networks
This paper proposes a new variant of the task allocation problem, where the agents are connected in a social network and tasks arrive at the agents distributed over the network. W...
Mathijs de Weerdt, Yingqian Zhang, Tomas Klos