Dehu Qi

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This paper presents a new genetic K-means approach. Instead of evolving the centroid population, this new approach evolves the weights associated with the keywords, which character each class. The approach is implemented as a hierarchical automated Web page classifier for automated Web page classification. Initial experimental results are very promising and(More)
This paper presents a multi-agent reinforcement learning bidding approach (MARLBS) for performing multi-agent reinforcement learning. MARLBS integrates reinforcement learning, bidding and genetic algorithms. The general idea of our multi-agent systems is as follows: There are a number of individual agents in a team, each agent of the team has two modules: Q(More)
A cooperative team of agents may perform many tasks better than single agents. The question is how cooperation among self-interested agents should be achieved. It is important that, while we encourage cooperation among agents in a team, we maintain autonomy of individual agents as much as possible, so as to maintain flexibility and generality. This paper(More)
A cooperative team of agents may perform many tasks better than isolated agents. The question is how cooperation among self-interested agents may be achieved. It is important that, while we encourage cooperation among agents to form a team, we maintain autonomy of individual agents as much as possible, so as to maintain flexibility and generality. This(More)
A cooperative team of agents may perform many tasks better than single agents. The question is how cooperation among self-interested agents should be achieved. It is important that, while we encourage cooperation among agents in a team, we maintain autonomy of individual agents as much as possible, so as to maintain flexibility and generality. This paper(More)