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» Learning the required number of agents for complex tasks
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ATAL
2010
Springer
13 years 9 months ago
Evolving policy geometry for scalable multiagent learning
A major challenge for traditional approaches to multiagent learning is to train teams that easily scale to include additional agents. The problem is that such approaches typically...
David B. D'Ambrosio, Joel Lehman, Sebastian Risi, ...
KBSE
2002
IEEE
14 years 21 days ago
An Approach to Rapid Prototyping of Large Multi-Agent Systems
Engineering individual components of a multi-agent system and their interactions is a complex and error-prone task in urgent need of methods and tools. Prototyping is a valuable t...
Wamberto Weber Vasconcelos, Carles Sierra, Marc Es...
ECAI
2006
Springer
13 years 11 months ago
Learning Behaviors Models for Robot Execution Control
Robust execution of robotic tasks is a difficult problem. In many situations, these tasks involve complex behaviors combining different functionalities (e.g. perception, localizat...
Guillaume Infantes, Félix Ingrand, Malik Gh...
IJCAI
1989
13 years 9 months ago
Integrating Knowledge-Based System and Neural Network Techniques for Robotic Skill Acquisition
This paper describes an approach to robotic control that is patterned after models of human skill acquisition. The intent is to develop robots capable of learning how to accomplis...
David Handelman, Stephen Lane, Jack Gelfand
IAT
2006
IEEE
14 years 1 months ago
Strategic Issues in Trading Agent Competition: TAC-Classic
With the advancement of Internet Technology, increasing number of electronic marketplaces and online auction houses provides real-time transaction services for buyers and sellers ...
Francisco Oliveira, Yain-Whar Si