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728 result(s) for “Continual Learning” Page 1 of 15
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LOTUS: Continual Imitation Learning for Robot Manipulation through Unsupervised Skill Discovery
Weikang Wan, Yifeng Zhu, Rutav Shah, Yuke Zhu
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Experience Consistency Distillation Continual Reinforcement Learning for Robotic Manipulation Tasks
Chao Zhao, Jie Xu, Ru Peng, Xingyu Chen, Kuizhi Mei, Xuguang Lan
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Interactive Continual Learning Architecture for Long-Term Personalization of Home Service Robots
Ali Ayub, Chrystopher Nehaniv, Kerstin Dautenhahn
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Probabilistic Spiking Neural Network for Robotic Tactile Continual Learning
Senlin Fang, Yi Wen Liu, Chengliang Liu, Jingnan Wang, Yuanzhe Su, Yupo Zhang, Hoiio Kong, Zhengkun Yi, Xinyu Wu
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LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery
Kexin Chen, Du Yuyang, Tao You, Mobarakol Islam, Ziyu Guo, YUEMING Jin, Guangyong Chen, Pheng Ann Heng
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Increasing the Absolute Position Accuracy of Industrial Robots by Means of a Deep Continual Evidential Regression Model
Eckart Uhlmann, Mitchel Polte, Julian Blumberg, Sheng Yin, Gang Wang
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Distribution-Aware Continual Test-Time Adaptation for Semantic Segmentation
Jiayi Ni, Senqiao Yang, Ran Xu, Jiaming Liu, Xiaoqi Li, Wenyu Jiao, Zehui Chen, Yi Liu, Shanghang Zhang
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Continual Driving Policy Optimization with Closed-Loop Individualized Curricula
Haoyi Niu, Yizhou Xu, Xingjian Jiang, Jianming HU
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VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference
Soumya Banerjee, Vinay Kumar Verma, Avideep Mukherjee, DEEPAK GUPTA, Vinay Namboodiri, Piyush Rai
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Learning to Predict Navigational Patterns from Partial Observations
Robin Karlsson, Alexander Carballo, Francisco Lepe-Salazar, Keisuke Fujii, Kento Ohtani, Kazuya Takeda
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VPRTempo: A Fast Temporally Encoded Spiking Neural Network for Visual Place Recognition
Adam D. Hines, Peter Stratton, Michael J Milford, Tobias Fischer
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Torque-Based Deep Reinforcement Learning for Task-And-Robot Agnostic Learning on Bipedal Robots Using Sim-To-Real Transfer
Donghyeon Kim, Glen Berseth, Mathew Schwartz, Jaeheung Park
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Pseudo-Labeling and Contextual Curriculum Learning for Online Grasp Learning in Robotic Bin Picking
Huy Le, Philipp Schillinger, Miroslav Gabriel, Alexander Qualmann, Ngo Anh Vien
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Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations Via Inverse Reinforcement Learning
Feiyang Wu, Zhaoyuan Gu, Hanran Wu, Anqi Wu, Ye Zhao
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A Wearable Robotic Hand for Hand-Over-Hand Imitation Learning
Dehao Wei, Huazhe Xu
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POAQL: A Partially Observable Altruistic Q-Learning Method for Cooperative Multi-Agent Reinforcement Learning
Lesong Tao, miao kang, Jinpeng Dong, Songyi Zhang, Ke Ye, Shitao Chen, Nanning Zheng
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SofToss: Learning to Throw Objects with a Soft Robot
Diego Bianchi, Michele Gabrio Ernesto Antonelli, Cecilia Laschi, Angelo Maria Sabatini, Egidio Falotico
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Sample-Efficient Learning to Solve a Real-World Labyrinth Game Using Data-Augmented Model-Based Reinforcement Learning
Thomas Bi, Raffaello D'Andrea
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Effective Representation Learning Is More Effective in Reinforcement Learning Than You Think
Jiawei Zheng, Yonghong Song
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Learning a Flexible Neural Energy Function with a Unique Minimum for Globally Stable and Accurate Demonstration Learning
Zhehao Jin, WEIYONG SI, Andong Liu, Wen-An Zhang, Li Yu, Chenguang Yang
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Symmetric Models for Visual Force Policy Learning
Colin Kohler, Anuj Shrivatsav Srikanth, Eshan Arora, Robert Platt
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Learning to Shape by Grinding: Cutting-Surface-Aware Model-Based Reinforcement Learning
Takumi Hachimine, Jun Morimoto, Takamitsu Matsubara
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Learning Continuous Control with Geometric Regularity from Robot Intrinsic Symmetry
Shengchao Yan, Baohe Zhang, Yuan Zhang, Joschka Boedecker, Wolfram Burgard
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Learning Risk-Aware Quadrupedal Locomotion Using Distributional Reinforcement Learning
Lukas Schneider, Jonas Frey, Takahiro Miki, Marco Hutter
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Leveraging the Efficiency of Multi-Task Robot Manipulation Via Task-Evoked Planner and Reinforcement Learning
Haofu Qian, Haoyang Zhang, Jun Shao, Jiatao Zhang, Jason Gu, Wei Song, Shiqiang Zhu
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AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset
Dongsu Lee, Chanin Eom, Minhae Kwon
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Subequivariant Reinforcement Learning Framework for Coordinated Motion Control
Haoyu Wang, Xiaoyu Tan, Xihe Qiu, Chao Qu
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Task-Driven Domain-Agnostic Learning with Information Bottleneck for Autonomous Steering
Yu Shen, Laura Zheng, Tianyi Zhou, Ming C. Lin
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Brain-Inspired Hyperdimensional Computing in the Wild: Lightweight Symbolic Learning for Sensorimotor Controls of Wheeled Robots
Hyukjun Kwon, kangwon kim, JUNYOUNG LEE, Hyunsei Lee, Jiseung Kim, JINHYUNG KIM, taehyeong Kim, Yong Nyeon Kim, Yang Ni, Mohsen Imani, Il Hong Suh, Yeseong Kim
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CrossVideo: Self-Supervised Cross-Modal Contrastive Learning for Point Cloud Video Understanding
Yunze Liu, Changxi Chen, Zifan Wang, Li Yi
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Generalizing Cooperative Eco-driving via Multi-residual Task Learning
Vindula Jayawardana, Sirui Li, Cathy Wu, Yashar Farid, Kentaro Oguchi
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Adaptive Robot-Human Handovers with Preference Learning
Gojko Perovic, Francesco Iori, Angela Mazzeo, Marco Controzzi, Egidio Falotico
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Learning Active Manipulation to Target Shapes with Model-Free, Long-Horizon Deep Reinforcement Learning
Matias Sivertsvik, Kirill Sumskiy, Ekrem Misimi
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MOSAIC: Learning Unified Multi-Sensory Object Property Representations for Robot Learning via Interactive Perception
Gyan Tatiya, Jonathan Francis, Ho-Hsiang Wu, Yonatan Bisk, Jivko Sinapov
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Learning Needle Pick-And-Place without Expert Demonstrations
Rokas Bendikas, Valerio Modugno, Dimitrios Kanoulas, Francisco Vasconcelos, Danail Stoyanov
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ORBIT-Surgical: An Open-Simulation Framework for Learning Surgical Augmented Dexterity
Qinxi Yu, Masoud Moghani, Karthik Dharmarajan, Vincent Schorp, William Panitch, Jingzhou Liu, Kush Hari, Huang Huang, Mayank Mittal, Ken Goldberg, Animesh Garg
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An Offline Learning of Behavior Correction Policy for Vision-Based Robotic Manipulation
Qingxiuxiong Dong, Toshimitsu Kaneko, Masashi Sugiyama
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Efficient Multi-Task and Transfer Reinforcement Learning with Parameter-Compositional Framework
Lingfeng Sun, Haichao Zhang, Wei Xu, Masayoshi Tomizuka
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Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots
Thomas Lampe, Abbas Abdolmaleki, Sandy H. Huang, Sarah Bechtle, Jost Tobias Springenberg, Michael Bloesch, Oliver Groth, Roland Hafner, Tim Hertweck, Michael Neunert, Markus Wulfmeier, Jingwei Zhang, Francesco Nori, Nicolas Heess, Martin Riedmiller
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Optimal Containment Control of Multiple Quadrotors Via Reinforcement Learning
Ming Cheng, Hao Liu, Deyuan Liu, Haibo Gu, Xiangke Wang
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Reinforcement Learning for Collision-Free Flight Exploiting Deep Collision Encoding
Mihir Kulkarni, Kostas Alexis
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A Tube-Based Reinforcement Learning Approach for Optimal Motion Planning in Unknown Workspaces
Panagiotis Rousseas, Charalampos Bechlioulis, Kostas Kyriakopoulos
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Uncertainty-Driven Exploration Strategies for Online Grasp Learning
Yitian Shi, Philipp Schillinger, Miroslav Gabriel, Alexander Qualmann, Hanna Ziesche, Zohar Feldman, Ngo Anh Vien
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LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon Manipulation
Shuo Cheng, Danfei Xu
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Multi-Robot Cooperative Socially-Aware Navigation Using Multi-Agent Reinforcement Learning
Weizheng Wang, Le Mao, Ruiqi Wang, Byung-Cheol Min
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Learning Model Predictive Control with Error Dynamics Regression for Autonomous Racing
Haoru Xue, Edward Zhu, John M. Dolan, Francesco Borrelli
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Learning Force Control for Legged Manipulation
Tifanny Portela, Gabriel Margolis, Yandong Ji, Pulkit Agrawal
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An Efficient Model Based Approach on Learning Agile Motor Skills without Reinforcement
Haojie Shi, Tingguang Li, Qingxu Zhu, Jiapeng Sheng, Lei Han, Max Q.-H. Meng
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Composable Interaction Primitives: A Structured Policy Class for Efficiently Learning Sustained-Contact Manipulation Skills
Ben Abbatematteo, Eric Rosen, Skye Thompson, Mete Tuluhan Akbulut, Sreehari Rammohan, George Konidaris
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Learning Failure Prevention Skills for Safe Robot Manipulation
Abdullah Cihan Ak, Eren Erdal Aksoy, Sanem Sariel
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