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HPDC
2009
IEEE
14 years 21 days ago
Maestro: a self-organizing peer-to-peer dataflow framework using reinforcement learning
In this paper we describe Maestro, a dataflow computation framework for Ibis, our Java-based grid middleware. The novelty of Maestro is that it is a self-organizing peer-to-peer s...
C. van Reeuwijk
ATAL
2007
Springer
14 years 3 months ago
SMILE: Sound Multi-agent Incremental LEarning
This article deals with the problem of collaborative learning in a multi-agent system. Here each agent can update incrementally its beliefs B (the concept representation) so that ...
Gauvain Bourgne, Amal El Fallah-Seghrouchni, Henry...
IPPS
1997
IEEE
14 years 1 months ago
External Adjustment of Runtime Parameters in Time Warp Synchronized Parallel Simulators
Several optimizations to the Time Warp synchronization protocol for parallel discrete event simulation have been proposed and studied. Many of these optimizations have included so...
Radharamanan Radhakrishnan, Lantz Moore, Philip A....
AAAI
2012
11 years 11 months ago
Advances in Lifted Importance Sampling
We consider lifted importance sampling (LIS), a previously proposed approximate inference algorithm for statistical relational learning (SRL) models. LIS achieves substantial vari...
Vibhav Gogate, Abhay Kumar Jha, Deepak Venugopal
NIPS
2008
13 years 10 months ago
Adapting to a Market Shock: Optimal Sequential Market-Making
We study the profit-maximization problem of a monopolistic market-maker who sets two-sided prices in an asset market. The sequential decision problem is hard to solve because the ...
Sanmay Das, Malik Magdon-Ismail