3 research outputs found

    Multiagent reactive plan application learning in dynamic environments

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    Inter-layer Learning towards Emergent Cooperative Behavior

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    As applications for artificially intelligent agents increase in complexity we can no longer rely on clever heuristics and hand-tuned behaviors to develop their programming. Even the interaction between various components cannot be reduced to simple rules, as the complexities of realistic dynamic environments become unwieldy to characterize manually. To cope with these challenges, we propose an architecture for inter-layer learning where each layer is constructed with a higher level of complexity and control
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