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578 result(s) for “Representation Learning” Page 5 of 12
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Efficient Learning of High Level Plans from Play
NÃoria Armengol Urpí, Marco Bagatella, Otmar Hilliges, Georg Martius, Stelian Coros
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Developing Cooperative Policies for Multi-Stage Reinforcement Learning Tasks
Jordan Erskine, Christopher Lehnert
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LEMURS: Learning Distributed Multi-Robot Interactions
Eduardo Sebastián, Thai Duong, Nikolay Atanasov, Eduardo Montijano, Carlos Sagues
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Joint Semi-Supervised and Active Learning Via 3D Consistency for 3D Object Detection
Sihwan Hwang, Sanmin Kim, YoungSeok Kim, Dongsuk Kum
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Learning and Blending Robot Hugging Behaviors in Time and Space
Drolet Michael, Joseph Campbell, Heni Ben Amor
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Adaptive and Explainable Deployment of Navigation Skills Via Hierarchical Deep Reinforcement Learning
Kyowoon Lee, Seongun Kim, Jaesik Choi
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Enforcing the Consensus between Trajectory Optimization and Policy Learning for Precise Robot Control
Quentin Le Lidec, Wilson Jallet, Ivan Laptev, Cordelia Schmid, Justin Carpentier
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Start State Selection for Control Policy Learning from Optimal Trajectories
Christoph Zelch, Jan Peters, Oskar von Stryk
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Learning-Based Initialization of Trajectory Optimization for Path-Following Problems of Redundant Manipulators
Minsung Yoon, Mincheul Kang, Daehyung Park, Sung-eui Yoon
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Efficiently Learning Small Policies for Locomotion and Manipulation
Shashank Hegde, Gaurav Sukhatme
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Scalable Task-Driven Robotic Swarm Control Via Collision Avoidance and Learning Mean-Field Control
Kai Cui, Mengguang Li, Christian Fabian, Heinz Koeppl
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Active Predictive Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems
Alexander Ororbia, Ankur Mali
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Automatic Cell Rotation Method Based on Deep Reinforcement Learning
Huiying Gong, Yujie Zhang, Yaowei Liu, Qili Zhao, Xin Zhao, Mingzhu Sun
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Multifingered Grasping Based on Multimodal Reinforcement Learning
Hongzhuo Liang, Lin Cong, Norman Hendrich, Shuang Li, Fuchun Sun, Jianwei Zhang
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Reinforcement Learning for Safe Robot Control Using Control Lyapunov Barrier Functions
Desong Du, Shaohang Han, Naiming Qi, Haitham Bou Ammar, Jun Wang, Wei Pan
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Adaptive Risk-Tendency: Nano Drone Navigation in Cluttered Environments with Distributional Reinforcement Learning
Cheng Liu, Erik-Jan van Kampen, Guido de Croon
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Explainable Action Advising for Multi-Agent Reinforcement Learning
Yue Guo, Joseph Campbell, Simon Stepputtis, Ruiyu Li, Dana Hughes, Fei Fang, Katia Sycara
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Self-Supervised Point Cloud Understanding Via Mask Transformer and Contrastive Learning
DI WANG, Zhi-Xin Yang
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Experimental Validation of Functional Iterative Learning Control on a One-Link Flexible Arm
Sjoerd Drost, Pietro Pustina, Franco Angelini, Alessandro De Luca, Gerwin Smit, Cosimo Della Santina
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Improving the Robustness of Reinforcement Learning Policies with L1 Adaptive Control
Yikun Cheng, Pan Zhao, Fanxin Wang, Daniel Block, NAIRA HOVAKIMYAN
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Multi-Modal Learning and Relaxation of Physical Conflict for an Exoskeleton Robot with Proprioceptive Perception
Xuan Zhang, Yana Shu, Yu Chen, Gong Chen, jing ye, Xiang LI
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Autonomous Drone Racing: Time-Optimal Spatial Iterative Learning Control within a Virtual Tube
Shuli Lv, Yan Gao, jiaxing Che, Quan Quan
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Immersive Demonstrations Are the Key to Imitation Learning
Kelin Li, Digby Chappell, Nicolas Rojas
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Efficient Recovery Learning using Model Predictive Meta-Reasoning
Shivam Vats, Maxim Likhachev, Oliver Kroemer
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Extraneousness-Aware Imitation Learning
Ray Chen Zheng, Kaizhe Hu, Zhecheng Yuan, Boyuan Chen, Huazhe Xu
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Learning-Based Uncertainty-Aware Navigation in 3D Off-Road Terrains
Hojin Lee, Junsung Kwon, Cheolhyeon Kwon
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Conflict-Constrained Multi-Agent Reinforcement Learning Method for Parking Trajectory Planning
Siyuan Chen, Meiling Wang, Yi Yang, Wenjie Song
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Implementation and Optimization of Grasping Learning with Dual-Modal Soft Gripper
lei zhao, Haoyue Liu, Feihan Li, X.Y. Ding, Yuhao Sun, Fuchun Sun, Jianhua Shan, Qi Ye, Lincheng Li, Bin Fang
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Learning Depth Completion of Transparent Objects Using Augmented Unpaired Data
Floris Marc Arden Erich, Bruno Leme, Noriaki Ando, Ryo Hanai, Yukiyasu Domae
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Visual Backtracking Teleoperation: A Data Collection Protocol for Offline Image-Based Reinforcement Learning
David Brandfonbrener, Stephen Tu, Avi Singh, Stefan Welker, Chad Boodoo, Nikolai Matni, Jacob Varley
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A Continuous Off-Policy Reinforcement Learning Scheme for Optimal Motion Planning in Simply-Connected Workspaces
Panagiotis Rousseas, Charalampos Bechlioulis, Kostas Kyriakopoulos
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Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning
Nicolai Dorka, Tim Welschehold, Joschka Boedecker, Wolfram Burgard
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Distributionally Robust Optimization with Unscented Transform for Learning-Based Motion Control in Dynamic Environments
Astghik Hakobyan, Insoon Yang
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Fusing Event-Based Camera and Radar for SLAM Using Spiking Neural Networks with Continual STDP Learning
Ali Safa, Tim Verbelen, Ilja Ocket, André Bourdoux, Hichem Sahli, Francky Catthoor, Georges Gielen
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Slice Transformer and Self-Supervised Learning for 6DoF Localization in 3D Point Cloud Maps
Muhammad Ibrahim, Naveed Akhtar, Saeed Anwar, michael wise, Ajmal Mian
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Reinforcement Learning Control of a Reconfigurable Planar Cable Driven Parallel Manipulator
Adhiti Raman Thothathri, Ameya Salvi, Matthias Schmid, Venkat Krovi
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Augmented Reality-Assisted Robot Learning Framework for Minimally Invasive Surgery Task
Junling Fu, Maria Chiara Palumbo, Elisa Iovene, Qingsheng liu, Ilaria Burzo, Alberto Redaelli, Giancarlo Ferrigno, Elena De Momi
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Learning Deep Neural Network Controller for Path Following of Unicycle Robots
Priyabrata Saha, Luis Guerrero-Bonilla, Magnus Egerstedt, Saibal Mukhopadhyay
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Enhanced GPIS Learning Based on Local and Global Focus Areas
Zuka Murvanidze, Marc Peter Deisenroth, Yasemin Bekiroglu
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Meta-Learning-Based Optimal Control for Soft Robotic Manipulators to Interact with Unknown Environments
Zhiqiang Tang, Peiyi Wang, Wenci Xin, Zhexin Xie, longxin kan, Muralidharan Mohanakrishnan, Cecilia Laschi
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GIDP: Learning a Good Initialization and Inducing Descriptor Post-Enhancing for Large-Scale Place Recognition
Zhaoxin Fan, Zhenbo Song, Jun He, Hongyan Liu
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Deep Predictive Model Learning with Parametric Bias: Handling Modeling Difficulties and Temporal Model Changes
Kento Kawaharazuka, Kei Okada, Masayuki Inaba
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Off-policy Imitation Learning from Visual Inputs
Zhihao Cheng, Li Shen, Dacheng TAO
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Deep Reinforcement Learning for Autonomous Driving Using High-Level Heterogeneous Graph Representations
Maximilian Schier, Christoph Reinders, Bodo Rosenhahn
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Sim-To-Real Transfer for Visual Reinforcement Learning of Deformable Object Manipulation for Robot-Assisted Surgery
Paul Maria Scheikl, Eleonora Tagliabue, Balazs Gyenes, Martin Wagner, Diego Dall'Alba, Paolo Fiorini, Franziska Mathis-Ullrich
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Learning Robotic Cutting from Demonstration: Non-Holonomic DMPs Using the Udwadia-Kalaba Method
Arturas Straizys, Michael Burke, Subramanian Ramamoorthy
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Toward Fine Contact Interactions: Learning to Control Normal Contact Force with Limited Information
Jinda Cui, Jiawei Xu, David Saldaña, Jeff Trinkle
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Variable Admittance Interaction Control of UAVs Via Deep Reinforcement Learning
Yuting Feng, Chuanbeibei Shi, Jianrui Du, Yushu Yu, Fuchun Sun, Yixu Song
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Decoupling Skill Learning from Robotic Control for Generalizable Object Manipulation
Kai Lu, Bo Yang, Bing Wang, Andrew Markham
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Exploring Navigation Maps for Learning-Based Motion Prediction
Julian Schmidt, Julian Jordan, Franz Gritschneder, Thomas Monninger, Klaus Dietmayer
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