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» Learning the required number of agents for complex tasks
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JACM
2008
90views more  JACM 2008»
13 years 7 months ago
Bit complexity of breaking and achieving symmetry in chains and rings
We consider a failure-free, asynchronous message passing network with n links, where the processors are arranged on a ring or a chain. The processors are identically programmed bu...
Yefim Dinitz, Shlomo Moran, Sergio Rajsbaum
ATAL
2010
Springer
13 years 9 months ago
Self-organization for coordinating decentralized reinforcement learning
Decentralized reinforcement learning (DRL) has been applied to a number of distributed applications. However, one of the main challenges faced by DRL is its convergence. Previous ...
Chongjie Zhang, Victor R. Lesser, Sherief Abdallah
ESAW
2008
Springer
13 years 9 months ago
Contribution to the Control of a MAS's Global Behaviour: Reinforcement Learning Tools
Reactive multi-agent systems present global behaviours uneasily linked to their local dynamics. When it comes to controlling such a system, usual analytical tools are difficult to ...
François Klein, Christine Bourjot, Vincent ...
ECAL
2007
Springer
14 years 1 months ago
Grounding Action-Selection in Event-Based Anticipation
Anticipation is one of the key aspects involved in flexible and adaptive behavior. The ability for an autonomous agent to extract a relevant model of its coupling with the environ...
Philippe Capdepuy, Daniel Polani, Chrystopher L. N...
AAAI
2008
13 years 10 months ago
Examining Difficulties Software Developers Encounter in the Adoption of Statistical Machine Learning
Statistical machine learning continues to show promise as a tool for addressing complex problems in a variety of domains. An increasing number of developers are therefore looking ...
Kayur Patel, James Fogarty, James A. Landay, Bever...