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» Metric learning for reinforcement learning agents
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IAT
2010
IEEE
15 years 4 months ago
Multiagent Meta-level Control for a Network of Weather Radars
It is crucial for embedded systems to adapt to the dynamics of open environments. This adaptation process becomes especially challenging in the context of multiagent systems. In t...
Shanjun Cheng, Anita Raja, Victor R. Lesser
SASO
2008
IEEE
16 years 16 days 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...
ATAL
2005
Springer
15 years 11 months ago
Modeling task allocation using a decision theoretic model
Mediation is the process of decomposing a task into subtasks, finding agents suitable for these subtasks and negotiating with agents to obtain commitments to execute these subtas...
Sherief Abdallah, Victor R. Lesser
ATAL
2003
Springer
15 years 11 months ago
Resource allocation games with changing resource capacities
In this paper we study a class of resource allocation games which are inspired by the El Farol Bar problem. We consider a system of competitive agents that have to choose between ...
Aram Galstyan, Shashikiran Kolar, Kristina Lerman
GECCO
2009
Springer
200views Optimization» more  GECCO 2009»
16 years 22 days ago
Apply ant colony optimization to Tetris
Tetris is a falling block game where the player’s objective is to arrange a sequence of different shaped tetrominoes smoothly in order to survive. In the intelligence games, ag...
Xingguo Chen, Hao Wang, Weiwei Wang, Yinghuan Shi,...