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ESANN
2006
15 years 8 months ago
A multiagent architecture for concurrent reinforcement learning
In this paper we propose a multiagent architecture for implementing concurrent reinforcement learning, an approach where several agents, sharing the same environment, perceptions ...
Victor Uc Cetina
ICMAS
1998
15 years 8 months ago
Multi-Machine Scheduling - A Multi-Agent Learning Approach
Multi-machine scheduling, that is, the assigment of jobs to machines such that certain performance demands like cost and time effectiveness are fulfilled, is a ubiquitous and comp...
Wilfried Brauer, Gerhard Weiß
162
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MIDDLEWARE
2004
Springer
16 years 3 days ago
PoliPer: policies for mobile and pervasive environments
The need for sharing is well known in a large number of distributed applications. These applications are difficult to develop either for fully wired or mobile wireless networks. ...
Luís Veiga, Paulo Ferreira
AGENTS
1998
Springer
15 years 11 months ago
Learning Situation-Dependent Costs: Improving Planning from Probabilistic Robot Execution
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
Karen Zita Haigh, Manuela M. Veloso
ICALT
2005
IEEE
16 years 11 days ago
Understanding Object-Oriented Software through Virtual Role-Play
Visualization techniques are commonly used in computer science, particularly for understanding the interactions intrinsic in the object-oriented paradigm. The visualization effect...
Guillermo Jiménez-Díaz, Mercedes G&o...