Software developed to train a deep reinforcement learning (DRL) agent for exploration tasks in indoor environments, exploiting semantic information from a 3D scene graph.
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Software developed to train a deep reinforcement learning (DRL) agent for exploration tasks in indoor environments, exploiting semantic information from a 3D scene graph. This repository is part of a Master's Thesis in Robotics carried out at the University of Twente (Netherlands).
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andrebf6/orbit.DRL-for-Active-Semantic-SLAM
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Software developed to train a deep reinforcement learning (DRL) agent for exploration tasks in indoor environments, exploiting semantic information from a 3D scene graph. This repository is part of a Master's Thesis in Robotics carried out at the University of Twente (Netherlands).
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