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AROBOTS
1999
104views more  AROBOTS 1999»
15 years 1 months ago
Reinforcement Learning Soccer Teams with Incomplete World Models
We use reinforcement learning (RL) to compute strategies for multiagent soccer teams. RL may pro t signi cantly from world models (WMs) estimating state transition probabilities an...
Marco Wiering, Rafal Salustowicz, Jürgen Schm...
IEEECIT
2010
IEEE
15 years 22 days ago
Scaling the iHMM: Parallelization versus Hadoop
—This paper compares parallel and distributed implementations of an iterative, Gibbs sampling, machine learning algorithm. Distributed implementations run under Hadoop on facilit...
Sebastien Bratieres, Jurgen Van Gael, Andreas Vlac...
JMLR
2010
164views more  JMLR 2010»
14 years 9 months ago
Solving the Uncapacitated Facility Location Problem Using Message Passing Algorithms
The Uncapacitated Facility Location Problem (UFLP) is one of the most widely studied discrete location problems, whose applications arise in a variety of settings. We tackle the U...
Nevena Lazic, Brendan J. Frey, Parham Aarabi
ICLA
2011
Springer
14 years 5 months ago
A Stochastic Interpretation of Propositional Dynamic Logic: Expressivity
We propose a probabilistic interpretation of Propositional Dynamic Logic (PDL). We show that logical and behavioral equivalence are equivalent over general measurable spaces. This...
Ernst-Erich Doberkat
DATE
2008
IEEE
145views Hardware» more  DATE 2008»
15 years 8 months ago
Minimizing Virtual Channel Buffer for Routers in On-chip Communication Architectures
We present a novel methodology for design space exploration using a two-steps scheme to optimize the number of virtual channel buffers (buffers take the premier share of the route...
Mohammad Abdullah Al Faruque, Jörg Henkel