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Copy file name to clipboardExpand all lines: _data/citations.yml
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metadata:
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last_updated: '2026-03-18'
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citations: 1
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title: 'VIPer: Iterative Value-Aware Model Learning on the Value Improvement Path'
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year: '2022'
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title: 'SWIRL: A sequential windowed inverse reinforcement learning algorithm for robot tasks with delayed rewards'
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year: '2019'
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title: Modular Action Concept Grounding in Semantic Video Prediction
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title: 'Open X-Embodiment: Robotic learning datasets and RT-X models'
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title: 'Fast-Grasp''D: Dexterous Multi-finger Grasp Generation Through Differentiable Simulation'
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title: 'Making sense of vision and touch: Self-supervised learning of multimodal representations for contact-rich tasks'
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title: Principled Exploration via Optimistic Bootstrapping and Backward Induction
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title: 'RoboTube: Learning Household Manipulation from Human Videos with Simulated Twin Environments'
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title: 'X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval'
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title: 'SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models'
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title: Discovering Robotic Interaction Modes with Discrete Representation Learning
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title: 'S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning in Robotics'
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title: Patient-specific temporary implants for accurately guiding local means of tumor control along patient-specific internal channels to treat cancer
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title: 'Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning'
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title: Techniques for robot control using neural implicit value functions
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title: 'Adversarially Robust Policy Learning: Active Construction of Physically-Plausible Perturbations'
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title: Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation
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title: A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution
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title: 'Breaking Bad: A Dataset for Geometric Fracture and Reassembly'
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title: 'Sufia-bc: Generating high quality demonstration data for visuomotor policy learning in surgical subtasks'
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title: 'GIFT: Generalizable Interaction-aware Functional Tool Affordances without Labels'
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title: 'Orbit-surgical: An open-simulation framework for learning surgical augmented dexterity'
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title: 'Autonomous Palpation for Tumor Localization: Design of a Palpation Probe and Gaussian Process Adaptive Sampling'
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year: '2016'
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title: Multilateral Surgical Pattern Cutting in 2D Orthotropic Gauze with Deep Reinforcement Learning Policies for Tensioning
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title: Precision injector/extractor for robot-assisted minimally-invasive surgery
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year: '2018'
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title: 'RoboTurk: A crowdsourcing platform for robotic skill learning through imitation'
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title: 'Neurips 2022 competition: Driving smarts'
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title: 'ORBIT: A unified simulation framework for interactive robot learning environments'
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title: 'SuFIA: language-guided augmented dexterity for robotic surgical assistants'
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title: A Programmable Approach to Model Compression. arXiv
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year: '2019'
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title: Can LLM feedback enhance review quality? A randomized study of 20k reviews at ICLR 2025
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title: Reinforcement learning in factored action spaces using tensor decompositions
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title: 'Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks'
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title: Turbulence forecasting via neural ode
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title: 'Progprompt: Generating situated robot task plans using large language models'
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title: 'Spiral Evolution of Visual World Model: Reclaiming Autoregression from the Diffusion Era'
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title: "Variable impedance control in end-effector space: An action space for reinforcement learning in contact-rich tasks. In 2019 IEEE/RSJ international conference on intelligent \u2026"
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title: "\u201CData will solve robotics and automation: True or false?\u201D: A debate"
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title: Learning Latent Actions to Control Assistive Robots
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title: 'ADAPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems'
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title: 'Real robot challenge: A robotics competition in the cloud'
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title: Language-guided distributional tree search
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year: '2022'
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title: 'Accelerating discovery in natural science laboratories with AI and robotics: Perspectives and challenges'
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