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- W2384343433 abstract "A testbed is needed to test and compare various multi-agent cooperative problem solving algorithms. A multi-agent cooperative simulation system based on BDI reasoning, MAS-Soccer, was developed to emphasize the importance of joint strategies in multi-agent systems, rather than the performance details of specific actions. The system can be used to test reinforcement learning algorithms based on feature vector extraction and the traditional Q-learning algorithm in the Robocup free kick game. Tests illustrate the efficiency of the system and that MAS-Soccer can efficiently and correctly compare various cooperative strategies." @default.
- W2384343433 created "2016-06-24" @default.
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- W2384343433 date "2005-01-01" @default.
- W2384343433 modified "2023-10-06" @default.
- W2384343433 title "MAS-Soccer: A testbed based on multi-agent cooperation" @default.
- W2384343433 hasPublicationYear "2005" @default.
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