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814 result(s) for “Deep Learning Methods” Page 5 of 17
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GAN-Based Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback
Jie Huang, Jiangshan Hao, Rongshun Juan, Randy Gomez, Keisuke Nakamura, Guangliang Li
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Tumbling Robot Control Using Reinforcement Learning
Andrew Schwartzwald, Matthew Tlachac, Luis Guzman, Athanasios Bacharis, Nikos Papanikolopoulos
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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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Seq2Seq Imitation Learning for Tactile Feedback-Based Manipulation
Wenyan Yang, Alexandre Angleraud, Roel S. Pieters, Joni Pajarinen, Joni-Kristian Kamarainen
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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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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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Stealthy Perception-Based Attacks on Unmanned Aerial Vehicles
Amir Khazraei, Haocheng Meng, Miroslav Pajic
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Using Learning Curve Predictions to Learn from Incorrect Feedback
Taylor Kessler Faulkner, Andrea Lockerd Thomaz
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Grey-Box Learning of Adaptive Manipulation Primitives for Robotic Assembly
Marco Braun, Sebastian Wrede
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Generating Stable and Collision-Free Policies through Lyapunov Function Learning
Coulombe Alexandre, Hsiu-Chin Lin
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Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control
Jiayu Chen, Tian Lan, Vaneet Aggarwal
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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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Learning Decoupled Multi-touch Force Estimation, Localization and Stretch for Soft Capacitive E-skin
Abu Bakar Dawood, Claudio Coppola, Kaspar Althoefer
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Hybrid Visual SLAM for Underwater Vehicle Manipulator Systems
Gideon Billings, Richard Camilli, Matthew Johnson-Roberson
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Learning on the Job: Self-Rewarding Offline-To-Online Finetuning for Industrial Insertion of Novel Connectors from Vision
Ashvin Nair, Brian Zhu, Gokul narayanan Sathya narayanan, Eugen Solowjow, Sergey Levine
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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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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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An Active Learning Based Robot Kinematic Calibration Framework Using Gaussian Processes
Ersin Das, Joel Burdick
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Learning Arm-Assisted Fall Damage Reduction and Recovery for Legged Mobile Manipulators
YUNTAO MA, Farbod Farshidian, Marco Hutter
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Learning to Estimate 3-D States of Deformable Linear Objects from Single-Frame Occluded Point Clouds
Kangchen Lv, Mingrui Yu, Yifan Pu, Xin Jiang, Gao Huang, Xiang LI
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Efficient Learning of Locomotion Skills through the Discovery of Diverse Environmental Trajectory Generator Priors
Shikha Surana, Bryan Wei Tern Lim, Antoine Cully
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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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DiffSRL: Learning Dynamical State Representation for Deformable Object Manipulation with Differentiable Simulation
Sirui Chen, Yunhao Liu, Shang Wen Yao, Jialong LI, Tingxiang Fan, Jia Pan
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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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Learning State Conditioned Linear Mappings for Low-Dimensional Control of Robotic Manipulators
Michael Przystupa, Kerrick Johnstonbaugh, Zichen Zhang, Laura Petrich, Masood Dehghan, Faezeh Haghverd, Martin Jagersand
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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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Follow the Rules: Online Signal Temporal Logic Tree Search for Guided Imitation Learning in Stochastic Domains
Jasmine Jerry Aloor, Jay Patrikar, Parv Kapoor, Jean Oh, Sebastian Scherer
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DNN-Based Predictive Model for a Batoid-Inspired Soft Robot
Guangtong Li, Thileepan Stalin, TRUONG VAN TIEN, Pablo Valdivia y Alvarado
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Self-Supervised Learning of Object Segmentation from Unlabeled RGB-D Videos
Shiyang Lu, Yunfu Deng, Abdeslam Boularias, Kostas E. Bekris
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Robotic Control Using Model Based Meta Adaption
Karam Daaboul, Joel Ikels, Johann Marius Zöllner
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Gradient-Based Trajectory Optimization with Learned Dynamics
Bhavya Sukhija, Nathanael Köhler, Miguel Angel Zamora Mora, Simon Zimmermann, Sebastian Curi, Stelian Coros, Andreas Krause
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Immersive Demonstrations Are the Key to Imitation Learning
Kelin Li, Digby Chappell, Nicolas Rojas
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Multi-Head Attention Machine Learning for Fault Classification in Mixed Autonomous and Human-Driven Vehicle Platoons
Theodore Wu, Satvick Acharya, Abdelrahman Khalil, Ahmed AlJanaideh, Mohammad Al Janaideh, Deepa Kundur
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Reinforcement Learning with Probabilistically Safe Control Barrier Functions for Ramp Merging
Soumith Udatha, Yiwei Lyu, John M. Dolan
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TransDSSL: Transformer Based Depth Estimation Via Self-Supervised Learning
DAECHAN HAN, JEONGMIN SHIN, Namil Kim, Soonmin Hwang, Yukyung Choi
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Locate before Segment: Topology-Guided Retinal Layer Segmentation in Optical Coherence Tomography Images
Ye LU, Yutian SHEN, Xiaohan Xing, Max Q.-H. Meng
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Sample Efficient Dynamics Learning for Symmetrical Legged Robots: Leveraging Physics Invariance and Geometric Symmetries
Jee-eun Lee, Jaemin Lee, Tirthankar Bandyopadhyay, Luis Sentis
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Meta Reinforcement Learning for Optimal Design of Legged Robots
Alvaro Belmonte-Baeza, joonho lee, Giorgio Valsecchi, Marco Hutter
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Cross-Modality Time-Variant Relation Learning for Generating Dynamic Scene Graphs
Jingyi Wang, JinFa Huang, Can Zhang, Zhidong Deng
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Failure-Aware Policy Learning for Self-Assessable Robotics Tasks
Kechun Xu, Runjian Chen, Shuqi Zhao, Zizhang Li, Hongxiang Yu, Ci Chen, Yue Wang, Rong Xiong
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FourStr: When Multi-Sensor Fusion Meets Semi-Supervised Learning
bangquan xie, Liang Yang, Zongming Yang, Ailin Wei, Xiaoxiong weng, Bing Li
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Predicting Motion Plans for Articulating Everyday Objects
Arjun Gupta, Max Shepherd, Saurabh Gupta
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A Unified BEV Model for Joint Learning of 3D Local Features and Overlap Estimation
Lin Li, Wendong Ding, YongKun Wen, Yufei Liang, Yong Liu, Guowei Wan
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Streaming LifeLong Learning with Any-Time Inference
Soumya Banerjee, Vinay Kumar Verma, Vinay Namboodiri
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Robust Adaptive Ensemble Adversary Reinforcement Learning
Peng Zhai, Taixian Hou, Xiaopeng Ji, Zhiyan Dong, Lihua ZHang
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Versatile Skill Control Via Self-Supervised Adversarial Imitation of Unlabeled Mixed Motions
Chenhao Li, Sebastian Blaes, Pavel Kolev, Marin Vlastelica, Jonas Frey, Georg Martius
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Learning Reward Functions for Robotic Manipulation by Observing Humans
Minttu Alakuijala, Gabriel Dulac-Arnold, Julien Mairal, Jean Ponce, Cordelia Schmid
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Guided Learning from Demonstration for Robust Transferability
Fouad Sukkar, Victor Hernandez Moreno, Teresa A. Vidal-Calleja, Jochen Deuse
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Learning to Explore Informative Trajectories and Samples for Embodied Perception
Ya Jing, Tao Kong
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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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