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Active collaboration in relative observation for Multi-agent visual SLAM based on Deep Q Network
This paper proposes a unique active relative localization mechanism for multi-agent Simultaneous Localization and Mapping(SLAM), in which a agent to be observed are considered as a task, which is performed by others assisting that agent by relative observation.
Coalition formation for Multi-agent Pursuit based on Neural Network and AGRMF Model
An approach for coalition formation of multi-agent pursuit based on neural network and AGRMF model is proposed. This paper constructs a novel neural work called AGRMF-ANN which consists of feature extraction part and group generation part.
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