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525 result(s) for “Transfer Learning” Page 1 of 11
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Cross-Domain Transfer Learning and State Inference for Soft Robots via a Semi-supervised Sequential Variational Bayes Framework
Shageenderan Sapai, Junn Yong Loo, Ze Yang Ding, Chee Pin Tan, Raphael Phan, Vishnu Monn Baskaran, Surya G. Nurzaman
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Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning
Zheng Wu, Yichen Xie, Wenzhao Lian, Changhao Wang, Yanjiang Guo, Jianyu Chen, Stefan Schaal, Masayoshi Tomizuka
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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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Hardware-Accelerated Mars Sample Localization Via Deep Transfer Learning from Photorealistic Simulations
Raul Castilla-Arquillo, Carlos Perez-del-Pulgar, Gonzalo Jesús Paz Delgado, Levin Gerdes
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Sim-To-Real Policy and Reward Transfer with Adaptive Forward Dynamics Model
Rongshun Juan, Hao Ju, Jie Huang, Randy Gomez, Keisuke Nakamura, Guangliang Li
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Toward Zero-Shot Sim-To-Real Transfer Learning for Pneumatic Soft Robot 3D Proprioception Sensing
Uksang Yoo, Hanwen Zhao, Alvaro Altamirano, Wenzhen Yuan, Chen Feng
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GraspAda: Deep Grasp Adaptation through Domain Transfer
Yiting Chen, Junnan Jiang, Ruiqi Lei, Yasemin Bekiroglu, Fei Chen, Miao Li
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Safety-Constrained Policy Transfer with Successor Features
Zeyu Feng, Bowen Zhang, Jianxin Bi, Harold Soh
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Robust Navigation with Cross-Modal Fusion and Knowledge Transfer
Wenzhe Cai, Guangran Cheng, Lingyue Kong, Lu Dong, Changyin Sun
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Bidirectional Sim-To-Real Transfer for GelSight Tactile Sensors with CycleGAN
Weihang Chen, YUAN XU, Zhenyang Chen, Peiyu Zeng, Renjun Dang, Rui Chen, Jing Xu
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Sim-To-Real Transfer for Quadrupedal Locomotion Via Terrain Transformer
Hang Lai, Weinan Zhang, Xialin He, Chen Yu, ZHENG TIAN, Yong Yu, Jun Wang
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DeXtreme: Transfer of Agile In-Hand Manipulation from Simulation to Reality
Ankur Handa, Arthur Allshire, Viktor Makoviichuk, Aleksei Petrenko, Ritvik Singh, Jingzhou Liu, Denys Makoviichuk, Karl Van Wyk, Zhurkevich Alexander, Balakumar Sundaralingam, Yashraj Narang, Jean-Francois Lafleche, Dieter Fox, Gavriel State
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Learning Generalizable Pivoting Skills
Xiang Zhang, Siddarth Jain, Baichuan Huang, Masayoshi Tomizuka, Diego Romeres
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In-Mouth Robotic Bite Transfer with Visual and Haptic Sensing
Lorenzo Shaikewitz, Yilin Wu, Suneel Belkhale, Jennifer Grannen, Priya Sundaresan, Dorsa Sadigh
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Toward Holistic Scene Understanding: A Transfer of Human Scene Perception to Mobile Robots
Florenz Graf, Jochen Lindermayr, cagatay odabasi, Marco F. Huber
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Zero-Shot Transfer of Haptics-Based Object Insertion Policies
Samarth Manoj Brahmbhatt, Ankur Deka, Andrew Spielberg, Matthias Müller
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M-EMBER: Tackling Long-Horizon Mobile Manipulation Via Factorized Domain Transfer
Bohan Wu, Roberto Martín-Martín, Li Fei-Fei
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NeRF2Real: Sim2real Transfer of Vision-Guided Bipedal Motion Skills Using Neural Radiance Fields
Arunkumar Byravan, Jan Humplik, Leonard Hasenclever, Arthur Brussee, Francesco Nori, Tuomas Haarnoja, Ben Moran, Steven Bohez, Fereshteh Sadeghi, Bojan Vujatovic, Nicolas Heess
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DenseTact 2.0: Optical Tactile Sensor for Shape and Force Reconstruction
Won Kyung Do, Bianca Jurewicz, Monroe Kennedy
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Robust Adaptive Ensemble Adversary Reinforcement Learning
Peng Zhai, Taixian Hou, Xiaopeng Ji, Zhiyan Dong, Lihua ZHang
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Expanding the Deployment Envelope of Behavior Prediction Via Adaptive Meta-Learning
Boris Ivanovic, James Harrison, Marco Pavone
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Guided Reinforcement Learning � A Review and Evaluation for Efficient and Effective Real-World Robotics
Julian Eßer, Nicolas Bach, Christian Jestel, Oliver Urbann, Sören Kerner
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Generating Stable and Collision-Free Policies through Lyapunov Function Learning
Coulombe Alexandre, Hsiu-Chin Lin
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Inverse Reinforcement Learning Framework for Transferring Task Sequencing Policies from Humans to Robots in Manufacturing Applications
Omey Mohan Manyar, Zachary McNulty, Stefanos Nikolaidis, Satyandra K. Gupta
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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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Real World Offline Reinforcement Learning with Realistic Data Source
Gaoyue Zhou, Liyiming Ke, Siddhartha Srinivasa, Abhinav Gupta, Aravind Rajeswaran, Vikash Kumar
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Using Memory-Based Learning to Solve Tasks with State-Action Constraints
Mrinal Verghese, Christopher Atkeson
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CPG-RL: Learning Central Pattern Generators for Quadruped Locomotion
Guillaume Bellegarda, Auke Ijspeert
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UPLIFT: Unsupervised Person Labeling and Identification Via Cooperative Learning with Mobile Robots
Yu-Chee Tseng, Ting-Yuan Ke, Fang-Jing Wu
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Learning Low-Frequency Motion Control for Robust and Dynamic Robot Locomotion
Siddhant Gangapurwala, luigi campanaro, Ioannis Havoutis
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Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms
Resul Dagdanov, Halil Durmuş, Nazim Kemal Ure
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DribbleBot: Dynamic Legged Manipulation in the Wild
Yandong Ji, Gabriel Margolis, Pulkit Agrawal
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Learning Sim-To-Real Dense Object Descriptors for Robotic Manipulation
Hoang-Giang Cao, Weihao Zeng, I-Chen Wu
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Learning from Physical Human Feedback: An Object-Centric One-Shot Adaptation Method
Alvin Shek, Bo Ying Su, Rui Chen, Changliu Liu
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Dextrous Tactile In-Hand Manipulation Using a Modular Reinforcement Learning Architecture
Johannes Pitz, Lennart Röstel, Leon Sievers, Berthold Bäuml
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A Deep Learning Human Activity Recognition Framework for Socially Assistive Robots to Support Reablement of Older Adults
Fraser Robinson, Goldie Nejat
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OPT-Mimic: Imitation of Optimized Trajectories for Dynamic Quadruped Behaviors
Yuni Fuchioka, Zhaoming Xie, Michiel van de Panne
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Inverted Landing in a Small Aerial Robot Via Deep Reinforcement Learning for Triggering and Control of Rotational Maneuvers
Bryan Habas, Jack W. Langelaan, Bo Cheng
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Monocular Visual-Inertial Depth Estimation
Diana Wofk, Rene Ranftl, Matthias Müller, Vladlen Koltun
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Weakly Supervised Referring Expression Grounding Via Target-Guided Knowledge Distillation
Jinpeng Mi, Song Tang, Ma Zhiyuan, dan liu, Qingdu Li, Jianwei Zhang
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Unseen Object Instance Segmentation with Fully Test-Time RGB-D Embeddings Adaptation
Lu Zhang, Siqi Zhang, Xu Yang, Hong Qiao, Zhiyong Liu
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Multi-Object Navigation in Real Environments Using Hybrid Policies
Assem Sadek, Guillaume Bono, Boris Chidlovskii, Atilla Baskurt, Christian Wolf
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Frontier Semantic Exploration for Visual Target Navigation
Bangguo Yu, Hamidreza Kasaei, Ming Cao
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Descriptor Distillation for Efficient Multi-Robot SLAM
Xiyue Guo, Junjie Hu, Hujun Bao, Guofeng Zhang
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Occlusion-Aware Crowd Navigation Using People As Sensors
Ye-Ji Mun, Masha Itkina, Shuijing Liu, Katherine Driggs-Campbell
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Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph
Shuijing Liu, Peixin Chang, Zhe Huang, Neeloy Chakraborty, Kaiwen Hong, Weihang Liang, D. Livingston McPherson, Junyi Geng, Katherine Driggs-Campbell
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Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations
Negin Heravi, Ayzaan Wahid, Corey Lynch, Peter Florence, Travis Armstrong, Jonathan Tompson, Pierre Sermanet, Jeannette Bohg, Debidatta Dwibedi
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Data-Driven Loop Closure Detection in Bathymetric Point Clouds for Underwater SLAM
Jiarui Tan, Ignacio Torroba Balmori, Yiping Xie, John Folkesson
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Sonicverse: A Multisensory Simulation Platform for Embodied Household Agents That See and Hear
Ruohan Gao, Hao Li, Gokul Dharan, Zhuzhu Wang, Chengshu Li, Fei Xia, Silvio Savarese, Li Fei-Fei, Jiajun Wu
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ViPFormer: Efficient Vision-and-Pointcloud Transformer for Unsupervised Pointcloud Understanding
Hongyu Sun, Yongcai Wang, Xudong Cai, Xuewei Bai, Deying Li
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