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msdm2015 [2015/01/05 20:49] msdm2015 |
msdm2015 [2015/01/05 20:54] msdm2015 [Overview] |
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| The purpose of this workshop is to bring together current and future researchers in the field of multiagent sequential decision making (MSDM) to present and discuss promising new work, to identify recent trends in model and algorithmic development, and to establish important directions and goals for further research and collaboration. This workshop also strives to develop consensus within the community on benchmarks and evaluation methodology in order to compare and validate alternative approaches and models. Further, we hope that these active discussions and collaborations will help us to overcome the challenges of successfully applying MSDM methods to real-world problems in security, sustainability, public safety and health, and other challenging domains. | The purpose of this workshop is to bring together current and future researchers in the field of multiagent sequential decision making (MSDM) to present and discuss promising new work, to identify recent trends in model and algorithmic development, and to establish important directions and goals for further research and collaboration. This workshop also strives to develop consensus within the community on benchmarks and evaluation methodology in order to compare and validate alternative approaches and models. Further, we hope that these active discussions and collaborations will help us to overcome the challenges of successfully applying MSDM methods to real-world problems in security, sustainability, public safety and health, and other challenging domains. | ||
| - | This year, the MSDM workshop will also include an extensive tutorial geared towards introducing the fundamental concepts of multiagent sequential decision making, acclimating researchers to the broad landscape of MSDM models and methods, and informing potential practitioners of the state of the art. | + | The MSDM workshop will also include a short tutorial that will briefly review how to make optimal and approximately optimal decisions in multiagent settings of cooperative or adversarial nature. Departing from game theory, the tutorial will visit the major models and solution techniques for sequential decision making under uncertainty in the context of multiagent interactions of increasing generality. The tutorial will acquaint the workshop audience with the appropriate background and historical perspective to understand and appreciate the ensuing talks and discussions. |
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