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Showing 1 to 2 of 2 for “"Heterogeneous graph neural network"”.

  1. Efficient Robotic Manipulation with Scene Knowledge

    … we improved the robot's efficiency by employing graph neural networks (GNN) to exploit the underlying relationships in the scene. To accomplish complex manipulation tasks in constrained environments, such as rearranging adversarial objects, we hierarchically integrated a heterogeneous graph

    umn Repository record for Efficient Robotic Manipulation with Scene Knowledge (opens in a new tab)

  2. Active heterogeneous graph neural networks with per-step meta-q-learning

    Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-05-01

    uiuc Repository record for Active heterogeneous graph neural networks with per-step meta-q-learning (opens in a new tab)