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corrected research.yaml
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2) investigated deep reinforcement learning (DRL) methods that leverage the learned pairwise and group-wise relations for social robot navigation around human crowds;
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3) proposed the first DRL framework that integrates the prediction uncertainty of pedestrians and explicitly guided the policy learning process in a principled manner for social navigation.
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These approaches achieve superior performance in the corresponding tasks in terms of a wide range of evaluation metrics and provide explainable, human-understandable intermediate representations to build both users’ trust.<br><br>
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These approaches achieve superior performance in the corresponding tasks in terms of a wide range of evaluation metrics and provide explainable, human-understandable intermediate representations to build both users’ trust.<br><br>
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**Related Publications:** <br>
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1. [SoNIC: Safe Social Navigation with Adaptive Conformal Inference and Constrained Reinforcement Learning](https://arxiv.org/abs/2407.17460), submitted to IEEE Robotics and Automation Letters (RA-L), under review. <br>

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