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975 result(s) for “Incremental Learning” Page 2 of 20
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MS-CRL: Multi-Scale Global Path Planning with Progressive Curriculum Reinforcement Learning AI summary
Nan Zhou, Xuqing Hu, Yixin Zhou, Rui Zhu, Fan Zhou, Ye Li, Guangqiang Yin
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Learn to Teach: Sample-Efficient Privileged Learning for Humanoid Locomotion Over Real-World Uneven Terrain AI summary
Feiyang Wu, Xavier Nal, Jaehwi Jang, Wei Zhu, Zhaoyuan Gu, Anqi Wu, Ye Zhao
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Beyond Domain Randomization: Safety Certificates for Reinforcement Learning AI summary
Paula Stocco, Francesco Micheli, Niklas Schmid, John Lygeros, Efe Balta
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Task-Parameterized Motion Learning with Time-Sensitive Constraints AI summary
Julian Richter, João P. Oliveira, Christian Scheurer, Jochen J. Steil, Niels Dehio
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Phase-Aware Policy Learning for Skateboard Riding of Quadruped Robots Via Feature-Wise Linear Modulation AI summary
Minsung Yoon, Jeil Jeong, Sung-eui Yoon
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Learning Policies for Dynamic Coalition Formation in Multi-Robot Task Allocation AI summary
Lucas Bezerra, Ataide Santos, Shinkyu Park
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Failure-Aware RL: Reliable Offline-To-Online Reinforcement Learning with Self-Recovery for Real-World Manipulation AI summary
improving task performance.
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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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Instrumentation for Imitation Learning: Enhancing Training Datasets for Clothes Hanger Insertion AI summary
Remko Proesmans, Thomas Lips, Francis wyffels
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SoftMimic: Learning Compliant Whole-body Control from Examples AI summary
Gabriel Margolis, Michelle Wang, Nolan Fey, Pulkit Agrawal
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Deep Reinforcement Learning-Based Motion Planning and PDE Control for Flexible Manipulators AI summary
Amir Hossein Barjini, Seyed Adel Alizadeh Kolagar, Sadeq Yaqubi, Jouni Mattila
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A Modular Residual Learning Framework to Enhance Model-Based Approach for Robust Locomotion AI summary
Min-Gyu Kim, Dongyun Kang, Hajun Kim, Hae-Won Park
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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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Learning Problem Decomposition for Efficient Sequential Multi-Object Manipulation Planning (resubmitted) AI summary
Yan Zhang, Teng Xue, Amirreza Razmjoo, Sylvain Calinon
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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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Quasimetric Decision Transformers: Enhancing Goal-Conditioned Reinforcement Learning with Structured Distance Guidance AI summary
MADHAV GOYANI, Heidar Davoudi, Mehran Ebrahimi
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LighterBEV: LiDAR Global Localization Meets Online Learning AI summary
BinHong Liu, Tao Yang, Haoji Cao, Shuqi FU, YangWang Fang, Zhi Yan
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DiSPo: Diffusion-SSM Based Policy Learning for Coarse-To-Fine Action Discretization AI summary
Nayoung Oh, Jaehyeong Jang, Moonkyeong Jung, Daehyung Park
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Task Generalization with Pathwise Conditioning of Gaussian Process for Learning from Demonstration AI summary
Adrian Prados, Gonzalo Espinoza, Alberto Mendez, Ramon Barber
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Complexity Reduction of the Three-Point Dubins Problem (3PDP) Via Symmetry Exploitation for Machine Learning Purposes AI summary
Marco Frego, Enrico Saccon, Davide De Martini, Luigi Palopoli
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ALOHA Lightning: Learning Fast and Precise Manipulation AI summary
John Hua Yao, Qi Wu, Yihuai Gao, Chelsea Finn, Zipeng Fu
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Heterogeneous Skill Learning for Asynchronous Multi-Robot Relay Pushing in Complex Environments AI summary
Hui Zhi, David Navarro-Alarcon
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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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PIMBS: Efficient Body Schema Learning for Musculoskeletal Humanoids with Physics-Informed Neural Networks AI summary
Kento Kawaharazuka, Takahiro Hattori, Keita Yoneda, Kei Okada
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Two-Time-Scale Composite Learning Online Identification and Control for Compliant-Joint Robots AI summary
Tian Shi, Lin Liu, Qian Wang, Jinya Su, Shihua Li, Yongping Pan
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Learning Conservative Neural Control Barrier Functions from Demonstrations AI summary
Ihab Tabbara, Hussein Sibai
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Leveraging Embodied Mechanical Intelligence for Learning Decluttering Tasks AI summary
Enrico Turco, Valerio Bo, Chiara Castellani, Gionata Salvietti, Monica Malvezzi, Domenico Prattichizzo, Maria Pozzi
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SwarmNav: Swarm Robotics Navigation in Dynamic and Dense Environments Via Reinforcement Learning AI summary
Shengbo Li, Chuanjie Lv, Xiangqian Yuan, Liming Xu, Xinyang Liu, Zongzhi Zhu, Gang Xu, Yong Liu
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Learning-Based Torque Estimation for Harmonic Drive Actuators AI summary
Chun-Hung Huang, Chun Wei Chen, Chao-Chieh Lan
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Learning Visuomotor Policy for Multi-Robot Laser Tag Game AI summary
Kai Li, Shiyu Zhao
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Learning-Based Safety-Aware Task Scheduling for Efficient Human-Robot Collaboration AI summary
Marco Faroni, Alessio Spanò, Andrea Maria Zanchettin, Paolo Rocco
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Quadrotor Navigation Using Reinforcement Learning with Privileged Information AI summary
Jonathan Lee, Abhishek Rathod, Kshitij Goel, John Stecklein, Wennie Tabib
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Informed Federated Learning to Train a Robotic Arm Inverse Dynamic Model AI summary
Gabriel Jimenez-Perera, Brayan Valencia-Vidal, Niceto R. Luque, Eduardo Ros, Francisco Barranco
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LeGO-MM: Learning Navigation for Goal-Oriented Mobile Manipulation Via Hierarchical Policy Distillation AI summary
Bolei Chen, Liangbai Liu, Shengsheng Yan, Haonan Yang, Ping Zhong, Jianxin Wang
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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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DemoBot: Efficient Learning of Bimanual Manipulation with Dexterous Hands from Third-Person Human Videos AI summary
Yucheng Xu, Xiaofeng Mao, Elle Miller, Yang Li, Xinyu Yi, Zhibin (Alex) Li, Robert Fisher
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Learning to Drive by Imitating Surrounding Vehicles AI summary
Yasin Sonmez, Hanna Krasowski, Murat Arcak
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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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Efficient Learning of Object Placement with Intra-Category Transfer AI summary
Adrian Röfer, Russell Buchanan, Maximilian Argus, Sethu Vijayakumar, Abhinav Valada
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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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M2oE: Modular Mixture of Experts for Multi-Morphology Reinforcement Learning of Modular Robots AI summary
Chang Liu, Qinchao Xu, Satoshi Yagi, Satoshi Yamamori, Yaonan Zhu, Yusuke Iwasawa, Kazuya Yoshida, Jun Morimoto
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Y-MAP-Net: Learning from Foundation Models for Real-Time, Multi-Task Scene Perception AI summary
Ammar Qammaz, Nikolaos Vasilikopoulos, Iason Oikonomidis, Antonis Argyros
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The Impact of Motor Action on Language Acquisition and Action-Verb Learning in a Robot AI summary
Zakaria LEMHAOURI, Laura Cohen, Ann Nowé, Lola Canamero
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ADGaussian: Generalizable Gaussian Splatting for Autonomous Driving Via Multi-Modal Joint Learning AI summary
Qi Song, Chenghong Li, Haotong Lin, Sida Peng, Rui Huang
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Platform-Agnostic Reinforcement Learning Framework for Safe Exploration of Cluttered Environments with Graph Attention AI summary
Gabriele Calzolari, Vidya Sumathy, Christoforos Kanellakis, George Nikolakopoulos
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SeFA-Policy: Fast and Accurate Visuomotor Policy Learning with Selective Flow Alignment AI summary
Rong Xue, Jiageng Mao, Mingtong Zhang, Yue Wang
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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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Unveiling Uncertainty-Aware Autonomous Cooperative Learning Based Planning Strategy AI summary
Shiyao Zhang, Liwei Deng, Shuyu Zhang, Weijie Yuan, Hong Zhang
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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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Preference-Conditioned Reinforcement Learning for Space-Time Efficient Online 3D Bin Packing AI summary
Nikita Sarawgi, Omey Mohan Manyar, Fan Wang, Thinh Nguyen, Daniel Seita, Satyandra K. Gupta
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