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Paper List

  • Inverse Reinforcement Learning Framework for Transferring Task Sequencing Policies from Humans to Robots in Manufacturing Applications [Abstract]

  • Learning State Conditioned Linear Mappings for Low-Dimensional Control of Robotic Manipulators [Abstract]

  • Decoupling Skill Learning from Robotic Control for Generalizable Object Manipulation [Abstract]

  • Comparison of Model-Based and Model-Free Reinforcement Learning for Real-World Dexterous Robotic Manipulation Tasks [Abstract]

  • Handling Sparse Rewards in Reinforcement Learning Using Model Predictive Control [Abstract]

  • Task-Driven Graph Attention for Hierarchical Relational Object Navigation [Abstract]

  • Safety-Guaranteed Skill Discovery for Robot Manipulation Tasks [Abstract]

  • A Framework for the Unsupervised Inference of Relations between Sensed Object Spatial Distributions and Robot Behaviors [Abstract]

  • Learning Video-Conditioned Policies for Unseen Manipulation Tasks [Abstract]

  • Learning Food Picking without Food: Fracture Anticipation by Breaking Reusable Fragile Objects [Abstract]

  • Learning Risk-Aware Costmaps Via Inverse Reinforcement Learning for Off-Road Navigation [Abstract]

  • How Does It Feel? Self-Supervised Costmap Learning for Off-Road Vehicle Traversability [Abstract]