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GECCO
2008
Springer
128views Optimization» more  GECCO 2008»
13 years 9 months ago
Multi-agent task allocation: learning when to say no
This paper presents a communication-less multi-agent task allocation procedure that allows agents to use past experience to make non-greedy decisions about task assignments. Exper...
Adam Campbell, Annie S. Wu, Randall Shumaker
OSDI
2008
ACM
13 years 11 months ago
DryadLINQ: A System for General-Purpose Distributed Data-Parallel Computing Using a High-Level Language
DryadLINQ is a system and a set of language extensions that enable a new programming model for large scale distributed computing. It generalizes previous execution environments su...
Yuan Yu, Michael Isard, Dennis Fetterly, Mihai Bud...
ML
1998
ACM
101views Machine Learning» more  ML 1998»
13 years 8 months ago
Elevator Group Control Using Multiple Reinforcement Learning Agents
Recent algorithmic and theoretical advances in reinforcement learning (RL) have attracted widespread interest. RL algorithmshave appeared that approximatedynamic programming on an ...
Robert H. Crites, Andrew G. Barto
COGSCI
2010
125views more  COGSCI 2010»
13 years 8 months ago
A Probabilistic Computational Model of Cross-Situational Word Learning
Words are the essence of communication: they are the building blocks of any language. Learning the meaning of words is thus one of the most important aspects of language acquisiti...
Afsaneh Fazly, Afra Alishahi, Suzanne Stevenson
ITICSE
1997
ACM
14 years 23 days ago
A pedagogical pattern for bringing service into the curriculum via the web
The Web reduces the economic hurdles of publishing a message to a large audience. This paper documents a pedagogical pattern to integrate community service with the curriculum. St...
Carl Erickson, Paul Leidig