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Learning from Guided Play: Improving Exploration for Adversarial Imitation Learning with Simple Auxiliary Tasks [Abstract]
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Hierarchical Decision Transformer [Abstract]
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ProDMPs: A Unified Perspective on Dynamic and Probabilistic Movement Primitives [Abstract]
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Imitation-Guided Multimodal Policy Generation from Behaviourally Diverse Demonstrations [Abstract]
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Model-Based Adversarial Imitation Learning from Demonstrations and Human Reward [Abstract]
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Interpretable Motion Planner for Urban Driving Via Hierarchical Imitation Learning [Abstract]
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Hierarchical Imitation Learning for Stochastic Environments [Abstract]
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Efficient Deep Learning of Robust, Adaptive Policies Using Tube MPC-Guided Data Augmentation [Abstract]
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Masked Imitation Learning: Discovering Environment-Invariant Modalities in Multimodal Demonstrations [Abstract]
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Does Unpredictability Influence Driving Behavior? [Abstract]
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From Temporal-Evolving to Spatial-Fixing: A Keypoints-Based Learning Paradigm for Visual Robotic Manipulation [Abstract]
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Disturbance Injection under Partial Automation: Robust Imitation Learning for Long-Horizon Tasks [Abstract]
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Training Robots without Robots: Deep Imitation Learning for Master-To-Robot Policy Transfer [Abstract]
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Imitrob: Imitation Learning Dataset for Training and Evaluating 6D Object Pose Estimators [Abstract]