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1199 result(s) for “Imitation Learning” Page 1 of 24
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AutoFocus-IL: VLM-Based Saliency Maps for Data-Efficient Visual Imitation Learning without Extra Human Annotations AI summary
Litian Gong, Fatemeh Bahrani, Yutai Zhou, Amin Banayeeanzade, Jiachen Li, Erdem Bıyık
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EDAIL: Adversarial Imitation Learning Via Exploration-Driven Data Augmentation AI summary
Pengcheng Li, qiang fang, Xin Xu
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EasyMimic: A Low-Cost Framework for Robot Imitation Learning from Human Videos AI summary
Tao Zhang, Song Xia, Ye Wang, Qin Jin
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Failure Identification in Imitation Learning Via Statistical and Semantic Filtering AI summary
Quentin Rolland,, Fabrice Mayran de Chamisso, Jean-Baptiste Mouret
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Flow before Imitation: Learning Dexterous In-Hand Manipulation with Dynamic Visuotactile Shortcut Policy AI summary
Yijin Chen, Wenqiang Xu, Zhenjun Yu, Tutian Tang, Yutong Li, Siqiong Yao, Cewu Lu
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Flow-Enabled Generalization to Human Demonstrations in Few-Shot Imitation Learning AI summary
Runze Tang, Penny Sweetser
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Generative Adversarial Imitation Learning for Robot Swarms: Learning from Human Demonstrations and Trained Policies AI summary
Mattes Kraus, Jonas Kuckling
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HoMeR: Learning In-The-Wild Mobile Manipulation Via Hybrid Imitation and Whole-Body Control AI summary
Priya Sundaresan, Rhea Malhotra, Phillip Miao, Jingyun Yang, Jimmy Wu, Hengyuan Hu, Rika Antonova, Francis Engelmann, Dorsa Sadigh, Jeannette Bohg
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Imitation-BT: Automating Behavior Tree Generation by Echoing Reinforcement Learning Agents AI summary
Shailendra Sekhar Bathula, Ramviyas Parasuraman
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Instrumentation for Imitation Learning: Enhancing Training Datasets for Clothes Hanger Insertion AI summary
Remko Proesmans, Thomas Lips, Francis wyffels
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KiRAS: Keyframe Guided Self-Imitation for Robust and Adaptive Skill Learning in Quadruped Robots AI summary
Xiaoyi Wei, Peng Zhai, Jiaxin Tu, Yueqi ZHang, Yuqi LI, Zonghao ZHang, Hu Zhou, Lihua ZHang
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Learning Sidewalk Autopilot from Multi-Scale Imitation with Corrective Behavior Expansion AI summary
Honglin He, Yukai Ma, Brad Squicciarini, Wayne Wu, Bolei Zhou
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MIMO: A Multimodal Imitation Learning Framework for Mobile Manipulation with Exoskeleton-VR Teleoperation AI summary
Jie Mei, Xinkai Wu, Yue Zhang, Tao Song, Zhongxia Xiong
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MTIL: Encoding Full History with Mamba for Temporal Imitation Learning AI summary
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Observer�Actor: Active Vision Imitation Learning with Sparse-View Gaussian Splatting AI summary
Yilong Wang, Cheng Qian, Ruomeng Fan, Edward Johns
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Physics-Constrained Imitation Learning for Autonomous Racing AI summary
Haohan Yang, Haochen Liu, Zhou Yanxin, Shuge Wu, Chen Lv
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R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations AI summary
Connor Mattson, Varun Raveendra, Ellen Novoseller, Nicholas Waytowich, Vernon Lawhern, Daniel Brown
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SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning AI summary
Yu Zhang, Yuqi Xie, Huihan Liu, Rutav Shah, Michael Wan, Linxi Fan, Yuke Zhu
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SPREAD: Subspace Representation Distillation for Lifelong Imitation Learning AI summary
Kaushik Roy, Giovanni Salvatore D'urso, Nicholas Lawrance, Brendan Tidd, Peyman Moghadam
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Scaling Single Human Demonstrations for Imitation Learning Using Generative Foundational Models AI summary
Nick Heppert, Minh Quang Nguyen, Abhinav Valada
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T2S: Tokenized Skill Scaling for Lifelong Imitation Learning AI summary
Hongquan Zhang, Jingyu Gong, Zhang Zhizhong, Xin TAN, Yuan Xie
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Toward Human Preference Optimization for Vision-Language-Action Models: A Pilot Study on the Limits of Imitation Learning AI summary
Tae-Won Lee, DongWook Kim
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Trajectory Planning for UAV-Based Smart Farming Using Imitation-Based Triple Deep Q-Learning AI summary
Wencan Mao, Quanxi Zhou, Tomás Couso Coddou, Manabu Tsukada, Liu Yunling, Yusheng Ji
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Unlocking the Potential of Soft Actor-Critic for Imitation Learning AI summary
Nayari Marie Lessa, Melya Boukheddimi, Frank Kirchner
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Unsupervised Domain Adaptation for Robust Imitation Learning under Visual Perturbations AI summary
Yasuhiro Kato, Thomas Westfechtel, Jen-Yen Chang, Naoki Morihira, Akinobu Hayashi, Tatsuya Harada, Takayuki Osa
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Using Non-Expert Data to Robustify Imitation Learning Via Offline Reinforcement Learning AI summary
Kevin Huang, Rosario Scalise, Cleah Winston, Ayush Agrawal, Yunchu Zhang, Rohan Baijal, Markus Grotz, Byron Boots, Benjamin Burchfiel, Hongkai Dai, Masha Itkina, Paarth Shah, Abhishek Gupta
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ViTac-Tracing: Visual-Tactile Imitation Learning of Deformable Object Tracing AI summary
Yongqiang Zhao, Haining Luo, Yupeng Wang, Emmanouil Spyrakos-Papastavridis, Yiannis Demiris, SHAN LUO
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Viper: Verifiable Imitation Learning Policy for Efficient Robotic Manipulation AI summary
Xianfeng Cheng, Qing Gao, Guangyu Chen, Rui Xiong, Junjie Hu, Yulan Guo, Zhaojie Ju
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Zero-Shot Exocentric Viewpoint-Robust Imitation Learning (VIL): Bridging Handheld Gripper and Exocentric Views AI summary
Boyan Li, Peilin Meng, Chang Liu, Yulin Chen, Qi Zhou, Youyi Bi
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A Computationally Efficient Nonparametric Approach for Robot Imitation Learning AI summary
Yijin Wang, Shaokang Wu, Chen Liu, Chuankai Zhang, João Silvério, Yanlong Huang
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Beyond the Majority: Long-Tail Imitation Learning for Robotic Manipulation AI summary
Junhong Zhu, Ji Zhang, Jingkuan Song, Lianli Gao, Heng Tao Shen
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Beyond the Teacher: Leveraging Mixed-Skill Demonstrations for Robust Imitation Learning AI summary
Saharsh Saharsh, Shubham Sonkar, Pushpak Jagtap, Ravi Prakash
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CAPS: Context-Aware Priority Sampling for Enhanced Imitation Learning in Autonomous Driving AI summary
Hamidreza Mirkhani, Behzad Khamidehi, Ehsan Ahmadi, mohammed elmahgiubi, Weize Zhang, Fazel Arasteh, Umar Rajguru, Kasra Rezaee, Dongfeng Bai
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Cross-Embodiment Imitation: Learning a Unified Latent Space for Multi-Robot Control AI summary
Yashuai Yan, Dongheui Lee
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Data Scaling Laws for Imitation Learning-Based End-To-End Autonomous Driving AI summary
Yupeng Zheng, Pengxuan Yang, zhongpu xia, Qichao Zhang, Yuhang Zheng, Ben Lu, Teng Zhang, Chao Han, Weize Li, Songen Gu, Xianpeng Lang, Xiangyuan Lan, Dongbin Zhao
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A Case Study on LLM-Guided Reinforcement Learning for Decentralized Autonomous Driving AI summary
Timur Anvar, Jeffrey Chen, Yuyan Wang, Rohan Chandra
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A Champion-Level Vision-Based Reinforcement Learning Agent for Competitive Racing in Gran Turismo 7 AI summary
Hojoon Lee, Takuma Seno, Jun Jet Tai, Kaushik Subramanian, Kenta Kawamoto, Peter Stone, Peter Wurman
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Active Scene Reconstruction with Topological Reasoning and Semantic-Augmented Reinforcement Learning AI summary
Yiqing Yuan, Zhi Li, Hao Ren, Kairao Zheng, Hui Cheng
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Behavior Cloning-Enhanced Deep Reinforcement Learning for Robot Navigation Via Dynamic Reward and Adaptive Replanning AI summary
Jianning Chi, fusheng li, Wenjun Zhang, Yongming Yang
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Beyond Scalar Rewards: Distributional Reinforcement Learning with Preordered Objectives for Safe and Reliable Autonomous Driving AI summary
Ahmed Abouelazm, Jonas Michel, Daniel Bogdoll, Philip Schörner, Johann Marius Zöllner
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CLAR: Learning 3D Representations for Robotic Manipulation by Fusing Masked Reconstruction with Multi-Level Contrastive Alignment AI summary
Wenbo Cui, Chengyang Zhao, Yuhui Chen, Haoran Li, Zhizheng Zhang, Dongbin Zhao, He Wang
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COBALT: Crowdsourcing Robot Learning Via Cloud-Based Teleoperation with Smartphones AI summary
Ayush Agarwal, Ansh Gandhi, Jeremy Collins, Omar Rayyan, Aryan Sarswat, Ranjani Koushik, Masoud Moghani, Ajay Uday Mandlekar, Animesh Garg
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Contrastive Learning on 3D Point Clouds for Robotic Geometric Defect Detection AI summary
Alexander Tarvo, Yusen Wan, Xu Chen
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Deep Photonic Reservoir Computer Meets UAV Control: An Ultra-Fast Learning-Based Compensator for Agile Flight in Confined Space AI summary
Qinxiao Ma, Ruiqian Li, Cheng Wang, Yang Wang
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Diverse Skill Discovery in Fourier Latent Space Via Unsupervised Learning AI summary
Ruopeng Cui, Yucong Sun, Xizhou Bu, Wang Chao, Wei Li
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Do You Know Where Your Camera Is? View-Invariant Policy Learning with Camera Conditioning AI summary
Tianchong Jiang, Jingtian Ji, Xiangshan Tan, Jiading Fang, Anand Bhattad, Vitor Guizilini, Matthew Walter
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Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight AI summary
Angel Romero, Ashwin Shenai, Ismail Geles, Elie Aljalbout, Davide Scaramuzza
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EgoMI: Learning Active Vision and Whole-Body Manipulation from Egocentric Human Demonstrations AI summary
Justin Yu, Yide Shentu, Di Wu, Pieter Abbeel, Ken Goldberg, Shiyao Wu
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FUNCanon: Learning Pose-Aware Action Primitives Via Functional Object Canonicalization for Generalizable Robotic Manipulation AI summary
Hongli Xu, Lei Zhang, Xiaoyue Hu, Boyang Zhong, Kaixin Bai, Zoltan-Csaba Marton, Zhenshan Bing, Zhaopeng Chen, Alois Knoll, Jianwei Zhang
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Flexible Locomotion Learning with Diffusion Model Predictive Control AI summary
Runhan Huang, Haldun Balim, HENG YANG, Yilun Du
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