Shravan Kumar Alur

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Recently robosoccer has proved to be one of the most successful test beds for multi-agent behavior. In robosoccer, agents take actions based on the feedback they receive from the environment. In this paper, we propose a novel concept to select high level actions in a multi-agent environment. We conduce the whole problem to that of a defense strategy of(More)
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