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1161 result(s) for “Learning from Demonstration” Page 4 of 24
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PA-LOCO: Learning Perturbation-Adaptive Locomotion for Quadruped Robots
Zhiyuan Xiao, Xinyu Zhang, Xiang Zhou, Qingrui Zhang
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MonoForce: Self-Supervised Learning of Physics-informed Model for Predicting Robot-Terrain Interaction
Ruslan Agishev, Karel Zimmermann, Vladimir Kubelka, Martin Pecka, Tomas Svoboda
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Environment Transformer and Policy Optimization for Model-Based Offline Reinforcement Learning
Pengqin Wang, Meixin Zhu, Shaojie Shen
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Fine Manipulation Using a Tactile Skin: Learning in Simulation and Sim-To-Real Transfer
Berthold Bäuml, Ulf Kasolowsky
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DMFuser: Distilled Multi-Task Learning for End-To-End Transformer-Based Sensor Fusion in Autonomous Driving
Pedram Agand, Mohammad Mahdavian, Manolis Savva, Mo Chen
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Adaptive Trajectory Database Learning for Nonlinear Control with Hybrid Gradient Optimization
Kuan-Yu Tseng, Mengchao Zhang, Kris Hauser, Geir E. Dullerud
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Robot Generating Data for Learning Generalizable Visual Robotic Manipulation
Yunfei Li, Ying Yuan, Jingzhi Cui, Haoran Huan, Wei Fu, Jiaxuan Gao, Zekai Xu, Yi Wu
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Diffusion Policies for Out-Of-Distribution Generalization in Offline Reinforcement Learning
Suzan Ece Ada, Erhan Oztop, Emre Ugur
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Diffusion Policies for Out-Of-Distribution Generalization in Offline Reinforcement Learning
Suzan Ece Ada, Erhan Oztop, Emre Ugur
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Hierarchical Consensus-Based Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasks
Pu Feng, Junkang Liang, Size Wang, Xin Yu, Xin Ji, Yiting Chen, kui zhang, Rongye Shi, Wenjun Wu
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Efficient Multimodal Semantic Segmentation Via Dual-Prompt Learning
Shaohua Dong, Yunhe Feng, Qing Yang, Yan Huang, Dongfang Liu, Heng Fan
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RelationGrasp: Object-Oriented Prompt Learning for Simultaneously Grasp Detection and Manipulation Relationship in Open Vocabulary
Songting Liu, Tat Joo Teo, Zhiping Lin, Haiyue Zhu
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Multi-Modal Representation Learning with Tactile Data
Hyung-gun Chi, Jean Mercat, Jose Barreiros, Karthik Ramani, Thomas Kollar
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Rocket Landing Control with Random Annealing Jump Start Reinforcement Learning
Yuxuan Jiang, Yujie Yang, Zhiqian Lan, Guojian Zhan, Shengbo Eben Li, Qi Sun, Jian Ma, Tianwen Yu, Changwu Zhang
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IMTSP: Solving Min-Max Multiple Traveling Salesman Problem with Imperative Learning
Yifan Guo, Zhongqiang Ren, Chen Wang
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Integrating Online Learning and Connectivity Maintenance for Communication-Aware Multi-Robot Coordination
Yupeng Yang, Yiwei Lyu, Yanze Zhang, Ian Gao, Wenhao Luo
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Learning Hierarchical Graph-Based Policy for Goal-Reaching in Unknown Environments
Yuxiang Cui, Shuhao Ye, Xuecheng Xu, Hao Sha, Cheng Wang, Longzhong Lin, Yifei Yang, Jiyu Yu, Zhe Liu, Rong Xiong, Yue Wang
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Online Adaptation of Learned Vehicle Dynamics Model with Meta-Learning Approach
Yuki Tsuchiya, Thomas Balch, Paul Drews, Guy Rosman
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Torque Ripple Reduction in Quasi-Direct Drive Motors through Angle-Based Repetitive Learning Observer and Model Predictive Torque Controller
Hefei Zhang, Xiaohu Zhang, Jinyu Cheng, Jiangtao Hu, Chao Ji, Yu Wang, Yutong Jiang, Zhen Han, Wei Gao, Shiwu Zhang
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Active Learning-augmented Intention-aware Obstacle Avoidance of Autonomous Surface Vehicles in High-traffic Waters
Mingi Jeong, Arihant Chadda, Alberto Quattrini Li
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Learning a Pre-Grasp Manipulation Policy to Effectively Retrieve a Target in Dense Clutter
Marios Kiatos, Leonidas Koutras, Iason Sarantopoulos, Zoe Doulgeri
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Learning to Simulate Tree-Branch Dynamics for Manipulation
Jayadeep Jacob, Tirthankar Bandyopadhyay, Jason Williams, Paulo Vinicius Koerich Borges, Fabio Ramos
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Real-Time Coordinated Motion Generation: A Hierarchical Deep Predictive Learning Model for Bimanual Tasks
Genki Shikada, Simon Armleder, Hiroshi Ito, Gordon Cheng, Tetsuya Ogata
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Safe CoR: A Dual-Expert Approach to Integrating Imitation Learning and Safe Reinforcement Learning Using Constraint Rewards
Hyeokjin Kwon, Gunmin Lee, Junseo Lee, Songhwai Oh
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Real-Time Spatiotemporal Assistance for Micromanipulation Using Imitation Learning
Ryoya Mori, Tadayoshi Aoyama, Taisuke Kobayashi, Kazuya Sakamoto, Masaru Takeuchi, Yasuhisa Hasegawa
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Self-Supervised Learning of Visual Robot Localization Using LED State Prediction As a Pretext Task
Mirko Nava, Nicholas Carlotti, Luca Crupi, Daniele Palossi, Alessandro Giusti
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Belief-Aided Navigation Using Bayesian Reinforcement Learning for Avoiding Humans in Blind Spots
Jinyeob Kim, KWAK DAEWON, Hyunwoo RIM, Donghan Kim
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Learning to Place Unseen Objects Stably Using a Large-Scale Simulation
Sangjun Noh, Raeyoung Kang, Taewon Kim, Seunghyeok Back, Seongho Bak, Kyoobin Lee
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VANP: Learning Where to See for Navigation with Self-Supervised Vision-Action Pre-Training
Mohammad Nazeri, Junzhe Wang, amirreza payandeh, Xuesu Xiao
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Learning When to Stop: Efficient Active Tactile Perception with Deep Reinforcement Learning
Christopher Niemann, David Philip Leins, Luca Lach, Robert Haschke
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Adaptive Curriculum Learning with Successor Features for Imbalanced Compositional Reward Functions
Laszlo Szoke, Shahaf Shperberg, Jarrett Holtz, Alessandro Gabriele Allievi
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FedRC: A Rapid-Converged Hierarchical Federated Learning Framework in Street Scene Semantic Understanding
Wei-Bin Kou, Qingfeng Lin, Ming Tang, Shuai Wang, Guangxu Zhu, Yik-Chung Wu
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SmartPathfinder: Pushing the Limits of Heuristic Solutions for Vehicle Routing Problem with Drones Using Reinforcement Learning
Navid Mohammad Imran, Myounggyu Won
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BronchoCopilot: Towards Autonomous Robotic Bronchoscopy Via Multimodal Reinforcement Learning
Jianbo Zhao, Hao Chen, Qingyao Tian, Jian Chen, Bingyu Yang, Zihui Zhang, Hongbin Liu
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Simulation-Assisted Learning for Efficient Bin-Packing of Deformable Packages in a Bimanual Robotic Cell
Omey Mohan Manyar, Hantao Ye, Meghana Sagare, Siddharth Mayya, Fan Wang, Satyandra K. Gupta
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LF2SLAM: Learning-Based Features for Visual SLAM
Marco Legittimo, Francesco Crocetti, Mario Luca Fravolini, Giuseppe Mollica, Gabriele Costante
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Preventing Catastrophic Forgetting in Continuous Online Learning for Autonomous Driving
Rui Yang, Zhi Yan, Tao Yang, Tomáï¿1⁄2 Krajník, Yassine Ruichek
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Iterative Reference Learning for Cartesian Impedance Control of Robot Manipulators
Julian Mauricio Salt Ducaju, Bjorn Olofsson, Rolf Johansson
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Funnel-Based Reward Shaping for Signal Temporal Logic Tasks in Reinforcement Learning
Naman Saxena, Sandeep Gorantla, Pushpak Jagtap
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A Cascaded Broad Learning System for Manipulator Motion Control
Guoyu Zuo, Shuaifeng Dong, Jiyong Zhou, Shuangyue Yu
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Progressive Representation Learning for Real-Time UAV Tracking
Changhong Fu, Xiang Lei, Haobo Zuo, Liangliang Yao, Guangze Zheng, Jia Pan
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A Learning-Based Controller for Multi-Contact Grasps on Unknown Objects with a Dexterous Hand
Dominik Winkelbauer, Rudolph Triebel, Berthold Bäuml
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Crowd-Aware Robot Navigation with Switching between Learning-Based and Rule-Based Methods Using Normalizing Flows
Kohei Matsumoto, Yuki Hyodo, Ryo Kurazume
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MFC-EQ: Mean-Field Control with Envelope Q-Learning for Moving Decentralized Agents in Formation
Qiushi Lin, Hang Ma
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Tactile Active Inference Reinforcement Learning for Efficient Robotic Manipulation Skill Acquisition
Zihao Liu, Xing Liu, Zhengxiong Liu, Yizhai Zhang, Panfeng Huang
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Learning High-Level Semantic-Relational Concepts for SLAM
Jose Andres Millan Romera, Hriday Bavle, Muhammad Shaheer, Martin R. Oswald, Holger Voos, Jose Luis Sanchez-Lopez
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Task and Domain Adaptive Reinforcement Learning for Robot Control
Yu Tang Liu, Nilaksh Nilaksh, Aamir Ahmad
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VoxelContrast: Voxel Contrast-Based Unsupervised Learning for 3D Point Clouds
Yuxiang Qin, HAO SUN
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A Safe Preference Learning Approach for Personalization with Applications to Autonomous Vehicles
Ruya Karagulle, Nikos Arechiga, Andrew Best, Jonathan DeCastro, Necmiye Ozay
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Learning-Informed Long-Horizon Navigation under Uncertainty for Vehicles with Dynamics
Abhish Khanal, Hoang-Dung Bui, Erion Plaku, Gregory Stein
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