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LearningforGraspingandManipulationIII

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Paper List

  • Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control [Abstract]

  • Efficiently Learning Small Policies for Locomotion and Manipulation [Abstract]

  • Learning Agent-Aware Affordances for Closed-Loop Interaction with Articulated Objects [Abstract]

  • SE(3)-DiffusionFields: Learning Smooth Cost Functions for Joint Grasp and Motion Optimization through Diffusion [Abstract]

  • Focused Adaptation of Dynamics Models for Deformable Object Manipulation [Abstract]

  • Dexterous Manipulation from Images: Autonomous Real-World RL Via Substep Guidance [Abstract]

  • Predicting Motion Plans for Articulating Everyday Objects [Abstract]

  • Dexterous Imitation Made Easy: A Learning-Based Framework for Efficient Dexterous Manipulation [Abstract]

  • Holo-Dex: Teaching Dexterity with Immersive Mixed Reality [Abstract]

  • Online Augmentation of Learned Grasp Sequence Policies for More Adaptable and Data-Efficient In-Hand Manipulation [Abstract]

  • DeXtreme: Transfer of Agile In-Hand Manipulation from Simulation to Reality [Abstract]

  • Meta-Reinforcement Learning Via Language Instructions [Abstract]