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589 result(s) for “Imitation Learning” Page 3 of 12
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Data-Efficient Task Generalization via Probabilistic Model-Based Meta Reinforcement Learning
Arjun Bhardwaj, Jonas Rothfuss, Bhavya Sukhija, Yarden As, Marco Hutter, Stelian Coros, Andreas Krause
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The Power of the Senses: Generalizable Manipulation from Vision and Touch through Masked Multimodal Learning
Carmelo Sferrazza, Younggyo Seo, Hao Liu, Youngwoon Lee, Pieter Abbeel
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TinyLidarNet: 2D Lidar-Based End-To-End Deep Learning Model for F1TENTH Autonomous Racing
Mohammed Misbah Zarrar, QiTao Weng, Bakhbyergyen Yerjan, Ahmet Soyyigit, Heechul Yun
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Learning Coordinated Maneuver in Adversarial Environments
Zechen Hu, Manshi Limbu, Daigo Shishika, Xuesu Xiao, Xuan Wang
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Enhancing Safety Via Deep Reinforcement Learning in Trajectory Planning for Agile Flights within Unknown Environments
Lidia Rocha, Jorge Bidinotto, Fredrik Heintz, Mattias Tiger, Kelen Cristiane Teixeira Vivaldini
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Mastering Scene Rearrangement with Expert-Assisted Curriculum Learning and Adaptive Trade-Off Tree-Search
Zan Wang, Hanqing Wang, Wei Liang
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Equivariant Ensembles and Regularization for Reinforcement Learning in Map-Based Path Planning
Mirco Theile, Hongpeng Cao, Marco Caccamo, Alberto Sangiovanni Vincentelli
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MorAL: Learning Morphologically Adaptive Locomotion Controller for Quadrupedal Robots on Challenging Terrains
Zeren Luo, YINZHAO DONG, Xinqi Li, Rui Huang, Zhengjie Shu, Erdong Xiao, Peng Lu
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OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control
Botian Xu, Feng Gao, Chao Yu, Ruize Zhang, Yi Wu, Yu Wang
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SCP: Soft Conditional Prompt Learning for Aerial Video Action Recognition
Xijun Wang, Ruiqi Xian, Tianrui Guan, Fuxiao Liu, Dinesh Manocha
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ProSIP: Probabilistic Surface Interaction Primitives for Learning of Robotic Cleaning of Edges
Christoph Unger, Christian Hartl-Nesic, Minh Nhat Vu, Andreas Kugi
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MPGNet: Learning Move-Push-Grasping Synergy for Target-Oriented Grasping in Occluded Scenes
Dayou Li, Chenkun Zhao, Shuo Yang, Ran Song, Xiaolei Li, Wei Zhang
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Robot-Enabled Machine Learning-Based Diagnosis of Gastric Cancer Polyps Using Partial Surface Tactile Imaging
Siddhartha Kapuria, Jeff Bonyun, Yash Kulkarni, Naruhiko Ikoma, Sandeep Chinchali, Farshid Alambeigi
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Speeding up Path Planning Via Reinforcement Learning in MCTS for Automated Parking
Xinlong Zheng, Xiaozhou Zhang, Donghao Xu
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Steering Decision Transformers Via Temporal Difference Learning
Hao-Lun Hsu, Alper Kamil Bozkurt, Juncheng Dong, Qitong Gao, Vahid Tarokh, Miroslav Pajic
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DexSkills: Skill Segmentation Using Haptic Data for Learning Autonomous Long-Horizon Robotic Manipulation Tasks
Xiaofeng Mao, Gabriele Giudici, Claudio Coppola, Kaspar Althoefer, Ildar Farkhatdinov, Zhibin (Alex) Li, Lorenzo Jamone
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Riemannian Flow Matching Policy for Robot Motion Learning
Max Braun, Noémie Jaquier, Leonel Rozo, Tamim Asfour
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Self-Supervised Curriculum Generation for Autonomous Reinforcement Learning without Task-Specific Knowledge
Sang-Hyun Lee, Seung-Woo Seo
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LEEPS: Learning End-To-End Legged Perceptive Parkour Skills on Challenging Terrains
Tangyu Qian, Hao Zhang, Zhangli Zhou, Hao Wang, Cai Mingyu, Zhen Kan
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Multi-Fidelity Reinforcement Learning for Minimum Energy Trajectory Planning
Luke de Castro, Gilhyun Ryou, HYUNGSEUK OHN, Sertac Karaman
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Toward Understanding Key Estimation in Learning Robust Humanoid Locomotion
Zhicheng Wang, Wandi Wei, Ruiqi Yu, Jun Wu, Qiuguo Zhu
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Learning Dynamics Models for Velocity Estimation in Autonomous Racing
Jan Węgrzynowski, Grzegorz Czechmanowski, Piotr Kicki, Krzysztof, Tadeusz Walas
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Learning Long-Horizon Predictions for Quadrotor Dynamics
Pratyaksh Rao, Alessandro Saviolo, Tommaso Castiglione Ferrari, Giuseppe Loianno
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A Scalable Platform for Robot Learning and Physical Skill Data Collection
Samuel Schneider, Yansong Wu, Fan Wu, Lars Johannsmeier, Sami Haddadin
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Towards Human-Centered Construction Robotics: A Reinforcement Learning-Driven Companion Robot for Contextually Assisting Carpentry Workers
Yuning Wu, Jiaying Wei, Jean Oh, Daniel Cardoso Llach
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Reinforcement Learning with Generalizable Gaussian Splatting
Jiaxu Wang, Qiang Zhang, Jingkai SUN, Jiahang Cao, Gang Han, Wen Zhao, Weining ZHANG, Yecheng Shao, Yijie Guo, Renjing Xu
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Image-Based Deep Reinforcement Learning with Intrinsically Motivated Stimuli: On the Execution of Complex Robotic Tasks
David Patricio Valencia Redrovan, Henry Williams, Yuning Xing, Trevor Gee, Minas Liarokapis, Bruce MacDonald
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Jointly Learning Cost and Constraints from Demonstrations for Safe Trajectory Generation
Shivam Chaubey, Francesco Verdoja, Ville Kyrki
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Terrain-Attentive Learning for Efficient 6-DoF Kinodynamic Modeling on Vertically Challenging Terrain
Aniket Datar, Chenhui Pan, Mohammad Nazeri, Anuj Pokhrel, Xuesu Xiao
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BaRiFlex: A Robotic Gripper with Versatility and Collision Robustness for Robot Learning
Gu-Cheol Jeong, Arpit Bahety, Gabriel Pedraza, Ashish Deshpande, Roberto Martín-Martín
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GraspContrast: Self-Supervised Contrastive Learning with False Negative Elimination for 6-DoF Grasp Detection
Wenshuo Wang, Haiyue Zhu, Marcelo H Ang Jr
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Learning-Based Adaptive Control of Quadruped Robots for Active Stabilization on Moving Platforms
Minsung Yoon, Heechan Shin, Jeil Jeong, Sung-eui Yoon
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Arm-Constrained Curriculum Learning for Loco-Manipulation of a Wheel-Legged Robot
Zifan Wang, Yufei Jia, Lu Shi, Haoyu Wang, Haizhou Zhao, Xueyang Li, Jinni ZHOU, Jun Ma, Guyue Zhou
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DexDribbler: Learning Dexterous Soccer Manipulation Via Dynamic Supervision
Yutong Hu, Kehan Wen, Fisher Yu
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Learning a Shape-Conditioned Agent for Purely Tactile In-Hand Manipulation of Various Objects
Johannes Pitz, Lennart Röstel, Leon Sievers, Darius Burschka, Berthold Bäuml
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Exploiting Hybrid Policy in Reinforcement Learning for Interpretable Temporal Logic Manipulation
Hao Zhang, Hao Wang, Xiucai Huang, Wenrui Chen, Zhen Kan
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MoVEInt: Mixture of Variational Experts for Learning Human-Robot Interactions from Demonstrations
Prasad, Vignesh,Kshirsagar, Alap,Koert, Dorothea,Stock-Homburg, Ruth,Peters, Jan,Chalvatzaki, Georgia
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Exploring Constrained Reinforcement Learning Algorithms for Quadrupedal Locomotion
Joonho Lee, Lukas Schroth, Victor Klemm, Marko Bjelonic, Alexander Reske, Marco Hutter
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Roofus: Learning-Based Robotic Moisture Mapping on Flat Rooftops with Ground Penetrating Radar
Kevin Lee, Wei-Heng Lin, Talha Javed, Sruti Madhusudhan, Bilal Sher, Chen Feng
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Deep Ad-Hoc Sub-Team Partition Learning for Multi-Agent Air Combat Cooperation
Songyuan Fan, Haiyin Piao, Yi Hu, Feng Jiang, Roushu Yang
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Safe Reinforcement Learning via Hierarchical Adaptive Chance-Constraint Safeguards
Zhaorun Chen,Zhuokai Zhao,Tairan He,BinHao Chen,Xuhao Zhao,Liang Gong,Chengliang Liu
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Sensorimotor Attention and Language-Based Regressions in Shared Latent Variables for Integrating Robot Motion Learning and LLM
Kanata Suzuki, Tetsuya Ogata
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METAVerse: Meta-Learning Traversability Cost Map for Off-Road Navigation
Junwon Seo, Taekyung Kim, Seongyong Ahn, Kiho Kwak
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Learning-On-The-Drive: Self-Supervised Adaptive Long-Range Perception for High-Speed Offroad Driving
Eric Chen, Cherie Ho, Mukhtar Maulimov, Chen Wang, Sebastian Scherer
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Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot
Philip Lorimer, Jack Saunders, Alan Joseph Hunter, Wenbin Li
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Deep Reinforcement Learning-Based Large-Scale Robot Exploration
Yuhong Cao, Rui Zhao, Yizhuo Wang, Bairan Xiang, Guillaume Adrien Sartoretti
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Learning Sampling Distribution and Safety Filter for Autonomous Driving with VQ-VAE and Differentiable Optimization
Simon Idoko, basant sharma, Arun Kumar Singh
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PCDepth: Pattern-Based Complementary Learning for Monocular Depth Estimation by Best of Both Worlds
Haotian Liu, Sanqing Qu, FAN LU, Zongtao Bu, Florian Roehrbein, Alois Knoll, Guang Chen
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An Actor-Critic Reinforcement Learning Scheme for Reactive 3D Optimal Motion Planning Based on Fluid Dynamics
Marios Malliaropoulos, Panagiotis Rousseas, Charalampos Bechlioulis, Kostas Kyriakopoulos
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Human-Robot Interaction Control for Multi-Mode Exosuit with Reinforcement Learning
Kaizhen Huang, Jiajun XU, Tianyi Zhang, Mengcheng Zhao, Aihong Ji, Guoli Song, Y.F. Li
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