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185
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TSMC
2008
15 years 6 months ago
2008
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is tha...
192
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KESAMSTA
2010
Springer
15 years 5 months ago
2010
Springer
Real-time computations in multi-agent systems have been studied from different perspectives of reasoning, message passing, resource management and negotiations. Separate treatment...
186
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CORR
2011
Springer
14 years 10 months ago
2011
Springer
Imitation can be viewed as a means of enhancing learning in multiagent environments. It augments an agent’s ability to learn useful behaviors by making intelligent use of the kn...
184
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CLIMA
2007
15 years 8 months ago
2007
Abstract. Task-based planning problems for multi-agent systems require multiple agents to find a joint plan for a constrained set of tasks. Typically, each agent receives a subset...
186
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AAAI
2010
15 years 8 months ago
2010
In computational social choice, one important problem is to take the votes of a subelectorate (subset of the voters), and summarize them using a small number of bits. This needs t...