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1655 papers in this venue.

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499 result(s) for “Continual Learning” Page 4 of 10
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Learning Category-Level Manipulation Tasks from Point Clouds with Dynamic Graph CNNs
Junchi Liang, Abdeslam Boularias
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Learning Perceptual Hallucination for Multi-Robot Navigation in Narrow Hallways
Jin Park, Xuesu Xiao, Garrett Warnell, Harel Yedidsion, Peter Stone
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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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Spatial-Temporal-Aware Safe Multi-Agent Reinforcement Learning of Connected Autonomous Vehicles in Challenging Scenarios
Zhili Zhang, Songyang Han, Jiangwei Wang, Fei Miao
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EDO-Net: Learning Elastic Properties of Deformable Objects from Graph Dynamics
Alberta Longhini, Marco Moletta, Alfredo Reichlin, Michael C. Welle, David Held, Zackory Erickson, Danica Kragic
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ARiADNE: A Reinforcement Learning Approach Using Attention-Based Deep Networks for Exploration
Yuhong Cao, Tianxiang Hou, Yizhuo Wang, Xian Yi, Guillaume Adrien Sartoretti
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Learning Food Picking without Food: Fracture Anticipation by Breaking Reusable Fragile Objects
Rinto Yagawa, Reina Ishikawa, Masashi Hamaya, Kazutoshi Tanaka, Atsushi Hashimoto, Hideo Saito
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CPG-RL: Learning Central Pattern Generators for Quadruped Locomotion
Guillaume Bellegarda, Auke Ijspeert
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Learning Responsibility Allocations for Safe Human-Robot Interaction with Applications to Autonomous Driving
Ryan Cosner, Yuxiao Chen, Karen Leung, Marco Pavone
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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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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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Learning Reward Functions for Robotic Manipulation by Observing Humans
Minttu Alakuijala, Gabriel Dulac-Arnold, Julien Mairal, Jean Ponce, Cordelia Schmid
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Self-Supervised Learning of Action Affordances As Interaction Modes
Liquan Wang, Nikita Dvornik, Rafael Dubeau, Mayank Mittal, Animesh Garg
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Interactive Dynamic Walking: Learning Gait Switching Policies with Generalization Guarantees
Prem Chand, Sushant Veer, Ioannis Poulakakis
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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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Learning Setup Policies: Reliable Transition between Locomotion Behaviours
Tidd, Brendan,Leitner, Jurgen,Cosgun, Akansel,Hudson, Nicolas
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Learning-Based Relational Object Matching across Views
Cathrin Elich, Iro Armeni, Martin R. Oswald, Marc Pollefeys, Joerg Stueckler
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Efficient Bimanual Handover and Rearrangement Via Symmetry-Aware Actor-Critic Learning
Yunfei Li, Chaoyi Pan, Huazhe Xu, Xiaolong Wang, Yi Wu
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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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Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction
Puze Liu, Kuo Zhang, Davide Tateo, Snehal Jauhri, Zhiyuan Hu, Jan Peters, Georgia Chalvatzaki
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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 Agent-Aware Affordances for Closed-Loop Interaction with Articulated Objects
Giulio Schiavi, Paula Wulkop, Giuseppe Maria Rizzi, Lionel Ott, Roland Siegwart, Jen Jen Chung
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Handling Sparse Rewards in Reinforcement Learning Using Model Predictive Control
Murad Elnagdi, Nils Dengler, Jorge de Heuvel, Maren Bennewitz
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Learning Perception-Aware Agile Flight in Cluttered Environments
Yunlong Song, Kexin Shi, Robert Penicka, Davide Scaramuzza
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Infrastructure-Based End-To-End Learning and Prevention of Driver Failure
Noam Buckman, Shiva Sreeram, Mathias Lechner, Yutong Ban, Ramin Hasani, Sertac Karaman, Daniela Rus
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Bimanual Rope Manipulation Skill Synthesis through Context Dependent Correction Policy Learning from Human Demonstration
Taha Baturhan Akbulut, GÃ1⁄4lsÃ1⁄4m Tuba Çibuk Girgin, Arash Mehrabi, Minoru Asada, Emre Ugur, Erhan Oztop
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Deep Metric Learning for Visual Servoing: When Pose and Image Meet in Latent Space
Samuel Felton, Elisa Fromont, Eric Marchand
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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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Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps
Sudeep Dasari, Abhinav Gupta, Vikash Kumar
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Aligning Human Preferences with Baseline Objectives in Reinforcement Learning
Daniel Marta, Simon Holk, Christian Pek, Jana Tumova, Iolanda Leite
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A Multi-Agent Approach for Adaptive Finger Cooperation in Learning-Based In-Hand Manipulation
Lingfeng Tao, Jiucai Zhang, Michael Bowman, Xiaoli Zhang
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Practical Visual Deep Imitation Learning Via Task-Level Domain Consistency
Mohi Khansari, Daniel Ho, Yuqing Du, Armando Fuentes, Matthew Bennice, Nicolas Sievers, Sean Kirmani, Yunfei Bai, Eric Jang
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Learning Performance Graphs from Demonstrations Via Task-Based Evaluations
Aniruddh Gopinath Puranic, Jyotirmoy Deshmukh, Stefanos Nikolaidis
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Learning to Predict Action Feasibility for Task and Motion Planning in 3D Environments
Smail Ait Bouhsain, Rachid Alami, Thierry Simeon
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An Active Learning Based Robot Kinematic Calibration Framework Using Gaussian Processes
Ersin Das, Joel Burdick
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Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot
Tao Huang, Kai Chen, Bin LI, Yunhui Liu, Qi Dou
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Monocular Reactive Collision Avoidance for MAV Teleoperation with Deep Reinforcement Learning
Raffaele Brilli, Marco Legittimo, Francesco Crocetti, Mirko Leomanni, Mario Luca Fravolini, Gabriele Costante
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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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Deep Learning-Aided Synthetic Airspeed Estimation of UAVs for Analytical Redundancy with a Temporal Convolutional Network
HYUNGTAE LIM, Han-seok Ryu, Matthew Rhudy, Dongjin Lee, Dongjin Jang, Changho LEE, Youngmin Park, Wonkeun Youn, Hyun Myung
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Online Visual SLAM Adaptation against Catastrophic Forgetting with Cycle-Consistent Contrastive Learning
Sangni Xu, Hao Xiong, Qiuxia Wu, Tingting Yao, Zhihui Wang, Zhiyong Wang
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Robotic Table Wiping Via Reinforcement Learning and Whole-Body Trajectory Optimization
Thomas Lew, Sumeet Singh, Mario Prats, Jeffrey Bingham, Jonathan Weisz, Benjie Holson, Xiaohan Zhang, Vikas Sindhwani, Yao Lu, Fei Xia, Peng Xu, Tingnan Zhang, Jie Tan, Montserrat Gonzalez Arenas
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TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios
Lan Feng, Quanyi Li, Zhenghao Peng, Shuhan Tan, Bolei Zhou
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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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Event-Triggered Optimal Formation Tracking Control Using Reinforcement Learning for Large-Scale UAV Systems
Ziwei Yan, Liang Han, Xiaoduo Li, Jinjie Li, Zhang Ren
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Robust Adaptive Ensemble Adversary Reinforcement Learning
Peng Zhai, Taixian Hou, Xiaopeng Ji, Zhiyan Dong, Lihua ZHang
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Gyro-Net: IMU Gyroscopes Random Errors Compensation Method Based on Deep Learning
Yunqi Gao, Dianxi Shi, Ruihao Li, Zhe Liu, Wen SUN
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RGB-D Grasp Detection Via Depth Guided Learning with Cross-Modal Attention
Ran Qin, Haoxiang Ma, Boyang Gao, Di Huang
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Online Learning and Suppression of Vibration in Collaborative Robots with Power Tools
Gokhan Solak, Arash Ajoudani
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