150 search results - page 5 / 30 » Using multi-agent systems for learning optimal policies for ... |
MLMTA
2003
13 years 8 months ago
2003
Abstract— The prediction of the future states in MultiAgent Systems has been a challenging problem since the begining of MAS. Robotic soccer is a MAS environment in which the pre...
SASO
2008
IEEE
14 years 1 months ago
2008
IEEE
As organization-based multiagent systems are applied to more complex problems, configuring and tuning the systems can become nearly as complex as the original problem a system wa...
SMC
2007
IEEE
14 years 1 months ago
2007
IEEE
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
SIGCOMM
2009
ACM
14 years 1 months ago
2009
ACM
We define some interesting incentive issues that arise in the management of virtual infrastructures. We demonstrate that participants’ decisions about the quantities of infrast...
TASE
2008
IEEE
13 years 7 months ago
2008
IEEE
Maintaining an asset with life-limited parts, e.g., a jet engine or an electric generator, may be costly. Certain costs, e.g., setup cost, can be shared if some parts of the asset ...