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1177 result(s) for “Deep Learning Methods” Page 6 of 24
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A Metacognitive Approach to Out-Of-Distribution Detection for Segmentation
Meghna Gummadi, Cassandra Kent, Karl Schmeckpeper, Eric Eaton
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Jacquard V2: Refining Datasets Using the Human in the Loop Data Correction Method
Qiuhao Li, Shenghai Yuan
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Zero-Shot Open-Vocabulary Tracking with Large-Scale Pre-Trained Models
Wen-Hsuan Chu, Adam Harley, Pavel Tokmakov, Achal Dave, Leonidas Guibas, Aikaterini Fragkiadaki
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Masked Visual-Tactile Pre-training for Robot Manipulation
Qingtao Liu, Qi Ye, Zhengnan Sun, Yu Cui, Gaofeng Li, Jiming Chen
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Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots
Thomas Lampe, Abbas Abdolmaleki, Sandy H. Huang, Sarah Bechtle, Jost Tobias Springenberg, Michael Bloesch, Oliver Groth, Roland Hafner, Tim Hertweck, Michael Neunert, Markus Wulfmeier, Jingwei Zhang, Francesco Nori, Nicolas Heess, Martin Riedmiller
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FuncGrasp: Learning Object-Centric Neural Grasp Functions from Single Annotated Example Object
Hanzhi Chen, Binbin Xu, Stefan Leutenegger
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Projection-Based Fast and Safe Policy Optimization for Reinforcement Learning
Shijun Lin, Hao Wang, Ziyang Chen, Zhen Kan
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Probabilistic Spiking Neural Network for Robotic Tactile Continual Learning
Senlin Fang, Yi Wen Liu, Chengliang Liu, Jingnan Wang, Yuanzhe Su, Yupo Zhang, Hoiio Kong, Zhengkun Yi, Xinyu Wu
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Toward the Use of Proxies for Efficient Learning Manipulation and Locomotion Strategies on Soft Robots
Etienne Ménager, Quentin Peyron, Christian Duriez
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LOTUS: Continual Imitation Learning for Robot Manipulation through Unsupervised Skill Discovery
Weikang Wan, Yifeng Zhu, Rutav Shah, Yuke Zhu
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FT-Net: Learning Failure Recovery and Fault-Tolerant Locomotion for Quadruped Robots
Zeren Luo, Erdong Xiao, Peng Lu
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TransAPR: Absolute Camera Pose Regression with Spatial and Temporal Attention
Chengyu Qiao, Zhiyu Xiang, Yuangang Fan, Tingming Bai, Xijun Zhao, Jingyun Fu
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Uncertainty-Driven Exploration Strategies for Online Grasp Learning
Yitian Shi, Philipp Schillinger, Miroslav Gabriel, Alexander Qualmann, Hanna Ziesche, Zohar Feldman, Ngo Anh Vien
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Learning Adaptive Safety for Multi-Agent Systems
Luigi Berducci, Shuo Yang, Rahul Mangharam, Radu Grosu
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On the Optimality, Stability, and Feasibility of Control Barrier Functions: An Adaptive Learning-Based Approach
Alaa Eddine Chriat, Chuangchuang Sun
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Weathering Ongoing Uncertainty: Learning and Planning in a Time-Varying Partially Observable Environment
Gokul Puthumanaillam, Xiangyu Liu, Negar Mehr, Melkior Ornik
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ColonMapper: Topological Mapping and Localization for Colonoscopy
Javier Morlana, Juan D. Tardos, J.M.M Montiel
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Active Automotive Augmented Reality Displays Using Reinforcement Learning
Ju-Hyeok Ryu, Chan Kim, Seong-Woo Kim
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Decentralized Multi-Robot Navigation for Autonomous Surface Vehicles with Distributional Reinforcement Learning
Xi Lin, Yewei Huang, Fanfei Chen, Brendan Englot
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Barrier Functions Inspired Reward Shaping for Reinforcement Learning
Nilaksh Nilaksh, Abhishek Ranjan, Shreenabh Agrawal, Aayush Jain, Pushpak Jagtap, Shishir Kolathaya
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V-STRONG: Visual Self-Supervised Traversability Learning for Off-Road Navigation
Sanghun Jung, JoonHo Lee, Xiangyun Meng, Byron Boots, Alexander Lambert
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Meta-Reinforcement Learning Based Cooperative Surface Inspection of 3D Uncertain Structures Using Multi-Robot Systems
Junfeng Chen, Yuan Gao, Junjie Hu, Fuqin Deng, Tin Lun Lam
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How to Train Your Neural Control Barrier Function: Learning Safety Filters for Complex Input-Constrained Systems
Oswin So, Zachary Serlin, Makai Mann, Jake Gonzales, Kwesi Rutledge, Nicholas Roy, Chuchu Fan
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Learning Fabric Manipulation in the Real World with Human Videos
Robert Lee, Jad Abou-Chakra, Fangyi Zhang, Peter Corke
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Active Learning with Dual Model Predictive Path-Integral Control for Interaction-Aware Autonomous Highway On-Ramp Merging
Jacob Knaup, Jovin D'sa, Behdad Chalaki, Tyler Naes, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari, Panagiotis Tsiotras
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Weighting Online Decision Transformer with Episodic Memory for Offline-to-Online Reinforcement Learning
Xiao Ma, Wu-Jun Li
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ConBaT: Control Barrier Transformer for Safe Robot Learning from Demonstrations
Yue Meng, Sai Vemprala, Rogerio Bonatti, Chuchu Fan, Ashish Kapoor
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Globally Stable Neural Imitation Policies
Amin Abyaneh, Mariana Sosa Guzmán, Hsiu-Chin Lin
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Improving Offline Reinforcement Learning with Inaccurate Simulators
Yiwen Hou, Haoyuan Sun, Jinming Ma, Feng Wu
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Physics-Informed Neural Motion Planning on Constraint Manifolds
Ruiqi Ni, Ahmed H. Qureshi
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Orientation-Aware Multi-Modal Learning for Road Intersection Identification and Mapping
Qibin He, Zhongyang Xiao, Ze Huang, Hongyuan Yuan, Li Sun
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DefGoalNet: Contextual Goal Learning from Demonstrations for Deformable Object Manipulation
Bao Thach, Tanner Watts, Shing-Hei Ho, Tucker Hermans, Alan Kuntz
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Contact Energy Based Hindsight Experience Prioritization
Erdi Sayar, Zhenshan Bing, Carlo D'Eramo, Ozgur S. Oguz, Alois Knoll
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NaviFormer: A Data-Driven Robot Navigation Approach Via Sequence Modeling and Path Planning with Safety Verification
Xuyang Zhang, Ziyang Feng, Quecheng Qiu, Yu'an Chen, Bei Hua, Jianmin Ji
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Learning Semantic-Agnostic and Spatial-Aware Representation for Generalizable Visual-Audio Navigation
Hongcheng Wang, Yuxuan Wang, zfw1993 Fangwei Zhong, Aaron Mingdong Wu, Jianwei Zhang, Yizhou Wang, Hao Dong
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Phasic Diversity Optimization for Population-Based Reinforcement Learning
Jingcheng Jiang, Haiyin Piao, Yu Fu, Yihang Hao, Chuanlu Jiang, Ziqi Wei, Xin Yang
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Reinforcement Learning of Action and Query Policies with LTL Instructions under Uncertain Event Detector
Wataru Hatanaka, Ryota Yamashina, Takamitsu Matsubara
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SyMFM6D: Symmetry-Aware Multi-Directional Fusion for Multi-View 6D Object Pose Estimation
Fabian Duffhauss, Sebastian Koch, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann
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INoD: Injected Noise Discriminator for Self-Supervised Representation Learning in Agricultural Fields
Julia Hindel, Nikhil Gosala, Kevin Bregler, Abhinav Valada
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Uncertainty-Aware Reinforcement Learning for Autonomous Driving with Multimodal Digital Driver Guidance
Wenhui Huang, Zitong Shan, Shanhe Lou, Chen Lv
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POLITE: Preferences Combined with Highlights in Reinforcement Learning
Simon Holk, Daniel Marta, Iolanda Leite
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ForceSight: Text-Guided Mobile Manipulation with Visual-Force Goals
Jeremy Collins, Cody Houff, You Liang Tan, Charles C. Kemp
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Learning for Dynamic Subteaming and Voluntary Waiting in Heterogeneous Multi-Robot Collaborative Scheduling
Williard Joshua Jose, Hao Zhang
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Enhancing Task Performance of Learned Simplified Models Via Reinforcement Learning
Hien Bui, Michael Posa
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SONIC: Sonar Image Correspondence Using Pose Supervised Learning for Imaging Sonars
Samiran Gode, Akshay Hinduja, Michael Kaess
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Transformer-CNN Cohort: Semi-Supervised Semantic Segmentation by the Best of Both Students
Xu Zheng, Yunhao Luo, Chong Fu, Kangcheng Liu, Lin Wang
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CVFormer: Learning Circum-View Representation and Consistency Constraints for Vision-Based Occupancy Prediction Via Transformers
Zhengqi Bai, Wenjun Shi, Dongchen Zhu, HanLong Kang, Guanghui Zhang, Gang Ye, Yang Xiao, Lei Wang, Xiaolin Zhang, bo Li, Jiamao Li
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Learning Heterogeneous Multi-Agent Allocations for Ergodic Search
Ananya Rao, Guillaume Adrien Sartoretti, Howie Choset
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VAPOR: Legged Robot Navigation in Unstructured Outdoor Environments Using Offline Reinforcement Learning
Kasun Weerakoon Kulathun Mudiyanselage, Adarsh Jagan Sathyamoorthy, Mohamed Elnoor, Dinesh Manocha
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Prompt, Plan, Perform: LLM-Based Humanoid Control Via Quantized Imitation Learning
Jingkai SUN, Qiang Zhang, YIQUN DUAN, Xiaoyang Jiang, Chong Cheng, Renjing Xu
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