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» Learning the required number of agents for complex tasks
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JACM
2008
90views more  JACM 2008»
15 years 1 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
15 years 3 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
15 years 3 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
15 years 8 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
15 years 4 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...