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1847 result(s) for “Learning Categories and Concepts” Page 4 of 37
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Autonomous Storytelling for Social Robot with Human-Centered Reinforcement Learning
Lei Zhang, Chuanxiong Zheng, Hui Wang, Randy Gomez, Eric Nichols, Guangliang Li
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Learning to Recover from Plan Execution Errors During Robot Manipulation: A Neuro-Symbolic Approach
Namasivayam Kalithasan, Arnav Tuli, Vishal Bindal, Himanshu Gaurav Singh, Parag Singla, Rohan Paul
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Enhancing Reinforcement Learning in Sensor Fusion: A Comparative Analysis of Cubature and Sampling-Based Integration Methods for Rover Search Planning
Jan-Hendrik Ewers, Sarah Swinton, Dave Anderson, Euan William McGookin, Douglas Thomson
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Gradient-Based Regularization for Action Smoothness in Robotic Control with Reinforcement Learning
Yi Li, Hoang-Giang Cao, Cong-Tinh Dao, Yu-Cheng Chen, I-Chen Wu
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DecAP : Decaying Action Priors for Accelerated Imitation Learning of Torque-Based Legged Locomotion Policies
Shivam Sood, GE SUN, Peizhuo LI, Guillaume Adrien Sartoretti
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Safe Multi-Agent Reinforcement Learning for Bimanual Dexterous Manipulation
Weishu Zhan, Peter Chin
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DarkGS: Learning Neural Illumination and 3D Gaussians Relighting for Robotic Exploration in the Dark
Tianyi Zhang, Kaining Huang, Weiming Zhi, Matthew Johnson-Roberson
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Safety-Aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving
Lin, Haohong,Ding, Wenhao,Liu, Zuxin,Niu, Yaru,Zhu, Jiacheng,Niu, Yuming,Zhao, Ding
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ARCADE: Scalable Demonstration Collection and Generation Via Augmented Reality for Imitation Learning
Yue Yang, Bryce Ikeda, Gedas Bertasius, Daniel J. Szafir
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Graph Neural Network-Based Multi-Agent Reinforcement Learning for Resilient Distributed Coordination of Multi-Robot Systems
Anthony Goeckner, Yueyuan Sui, Nicolas Martinet, Xinliang Li, Qi Zhu
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Embodied AI with Two Arms: Zero-Shot Learning, Safety and Modularity
Jacob Varley, Sumeet Singh, Deepali Jain, Krzysztof Choromanski, Andy Zeng, Somnath Basu Roy Chowdhury, Avinava Dubey, Vikas Sindhwani
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HyperTaxel: Hyper-Resolution for Taxel-Based Tactile Signals through Contrastive Learning
Hongyu Li, Snehal Dikhale, Jinda Cui, Soshi Iba, Nawid Jamali
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Open Human-Robot Collaboration using Decentralized Inverse Reinforcement Learning
PRASANTH SENGADU SURESH, Siddarth Jain, Prashant Doshi, Diego Romeres
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Imitation Learning for Sim-To-Real Adaptation of Robotic Cutting Policies Based on Residual Gaussian Process Disturbance Force Model
Jamie Hathaway, Alireza Rastegarpanah, Rustam Stolkin
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Kosmos-E: Learning to Follow Instruction for Robotic Grasping
Zhi Wang, Xun Wu, Xun Wu, Li Dong, Wang Wenhui, Shuming Ma, Furu Wei
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Social Navigation in Crowded Environments with Model Predictive Control and Deep Learning-Based Human Trajectory Prediction
Viet-Anh Le, Behdad Chalaki, Vaishnav Tadiparthi, Hossein Nourkhiz Mahjoub, Jovin D'sa, Ehsan Moradi-Pari
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D3G: Learning Multi-Robot Coordination from Demonstrations
Yizhi Zhou, WANXIN JIN, Xuan Wang
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Scheduling of Robotic Cellular Manufacturing Systems with Timed Petri Nets and Reinforcement Learning
ZhuTao Yao, Bo Huang, Jianyong Lv, Xiaoyu Lu, MeiJi Cui, ShaoHua Yu
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Safe Imitation Learning of Nonlinear Model Predictive Control for Flexible Robots
Shamil Mamedov, Rudolf Reiter, Seyed Mahdi Basiri Azad, Ruan Matthys Viljoen, Joschka Boedecker, Moritz Diehl, Jan Swevers
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PA-LOCO: Learning Perturbation-Adaptive Locomotion for Quadruped Robots
Zhiyuan Xiao, Xinyu Zhang, Xiang Zhou, Qingrui Zhang
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Unsupervised Multiple Proactive Behavior Learning of Mobile Robots for Smooth and Safe Navigation
Arthicha Srisuchinnawong, Jonas Baech, Marek Piotr Hyzy, Tsampikos Kounalakis, Evangelos Boukas, Poramate Manoonpong
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Learning Fine Pinch-Grasp Skills Using Tactile Sensing from a Few Real-World Demonstrations
Xiaofeng Mao, Yucheng Xu, Ruoshi Wen, Mohammadreza Kasaei, Wanming Yu, Efi Psomopoulou, Nathan Lepora, Zhibin (Alex) Li
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Visual Imitation Learning of Task-Oriented Object Grasping and Rearrangement
Yichen Cai, Jianfeng Gao, Christoph Pohl, Tamim Asfour
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AutoJoin: Efficient Adversarial Training against Gradient-Free Perturbations for Robust Maneuvering Via Denoising Autoencoder and Joint Learning
Michael Villarreal, Bibek Poudel, Ryan Wickman, Yu Shen, Weizi Li
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Latent Object Characteristics Recognition with Visual to Haptic-Audio Cross-Modal Transfer Learning
Namiko Saito, Joao Moura, Hiroki Uchida, Sethu Vijayakumar
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CMR-Agent: Learning a Cross-Modal Agent for Iterative Image-To-Point Cloud Registration
Gongxin Yao, Yixin Xuan, Xinyang Li, Yu Pan
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HeteroLight: A General and Efficient Learning Approach for Heterogeneous Traffic Signal Control
YIFENG ZHANG, Peizhuo LI, Mingfeng Fan, Guillaume Adrien Sartoretti
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Automatic Design of Robot Swarms That Perform Composite Missions: An Approach Based on Inverse Reinforcement Learning
Jeanne Szpirer, David Garzón Ramos, Mauro Birattari
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Bird's-Eye-View Trajectory Planning of Multiple Robots using Continuous Deep Reinforcement Learning and Model Predictive Control
Kristian Ceder, Ze Zhang, Adam Burman, Ilya Kuangaliyev, Krister Mattsson, Gabriel Nyman, Arvid Petersén, Lukas Wisell, Knut Akesson
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An Attention-Aware Deep Reinforcement Learning Framework for UAV-UGV Collaborative Route Planning
Mohammad Safwan Mondal, Subramanian Ramasamy, James Humann, Jim James, Dotterweich, Jean-Paul Reddinger, Marshal Childers, Pranav Bhounsule
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Diffusion Policies for Out-Of-Distribution Generalization in Offline Reinforcement Learning
Suzan Ece Ada, Erhan Oztop, Emre Ugur
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Diffusion Policies for Out-Of-Distribution Generalization in Offline Reinforcement Learning
Suzan Ece Ada, Erhan Oztop, Emre Ugur
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Hierarchical Consensus-Based Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasks
Pu Feng, Junkang Liang, Size Wang, Xin Yu, Xin Ji, Yiting Chen, kui zhang, Rongye Shi, Wenjun Wu
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Cross-Modal Self-Supervised Learning with Effective Contrastive Units for LiDAR Point Clouds
Mu Cai, Chenxu Luo, Yong Jae Lee, Xiaodong Yang
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Learning Generalizable Manipulation Policy with Adapter-Based Parameter Fine-Tuning
Kai Lu, Kim Tien Ly, William Hebberd, kaichen zhou, Ioannis Havoutis, Andrew Markham
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Mitigating Adversarial Perturbations for Deep Reinforcement Learning Via Vector Quantization
Tung Luu, Thanh Nguyen, Joshua Tian Jin Tee, Sungwoong Kim, Chang D. Yoo
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Self Supervised Detection of Incorrect Human Demonstrations: A Path Toward Safe Imitation Learning by Robots in the Wild
Noushad Sojib, Momotaz Begum
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Ag2Manip: Learning Novel Manipulation Skills with Agent-Agnostic Visual and Action Representations
Puhao Li, Tengyu Liu, Yuyang Li, Muzhi Han, Haoran Geng, Shu Wang, Yixin Zhu, Song-Chun Zhu, Siyuan Huang
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A Hybrid Model and Learning-Based Force Estimation Framework for Surgical Robots
Hao Yang, Haoying Zhou, Gregory Scott Fischer, Jie Ying Wu
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Mini-PointNetPlus: A Local Feature Descriptor in Deep Learning Model for Real-Time 3D Environment Perception
Chuanyu Luo, Nuo Cheng, Sikun Ma, Jun Xiang, Xiaohan Li, Shengguang Lei, Pu Li
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A Monte Carlo Approach to Koopman Direct Encoding and Its Application to the Learning of Neural-Network Observables
Nozawa, Itta,Kamienski, Emily,O'Neill, Cormac,Asada, Harry
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Local Path Planning among Pushable Objects Based on Reinforcement Learning
Linghong Yao, Valerio Modugno, Andromachi Maria Delfaki, Yuanchang Liu, Danail Stoyanov, Dimitrios Kanoulas
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Learning from Demonstration Framework for Multi-Robot Systems Using Interaction Keypoints and Soft Actor-Critic Methods
L.N Vishnunandan Venkatesh, Byung-Cheol Min
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Reward-Driven Automated Curriculum Learning for Interaction-Aware Self-Driving at Unsignalized Intersections
Zengqi Peng, Xiao Zhou, Lei Zheng, Yubin Wang, Jun Ma
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Learning Symbolic and Subsymbolic Temporal Task Constraints from Bimanual Human Demonstrations
Christian R. G. Dreher, Tamim Asfour
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Waypoint-Based Reinforcement Learning for Robot Manipulation Tasks
Shaunak Mehta, Soheil Habibian, Dylan Losey
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Learning Dynamic Tasks on a Large-Scale Soft Robot in a Handful of Trials
Sicelukwanda Njabuliso Tunner Zwane, Daniel G. Cheney, Curtis C Johnson, Yicheng Luo, Yasemin Bekiroglu, Marc Killpack, Marc Peter Deisenroth
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IMTSP: Solving Min-Max Multiple Traveling Salesman Problem with Imperative Learning
Yifan Guo, Zhongqiang Ren, Chen Wang
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Pseudo-Rigid Body Networks: Learning Interpretable Deformable Object Dynamics from Partial Observations
Shamil Mamedov, Andreas René Geist, Jan Swevers, Sebastian Trimpe
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Learning to Walk and Fly with Adversarial Motion Priors
Giuseppe L'Erario, Drew Hanover, Angel Romero, Yunlong Song, Gabriele Nava, Paolo Maria Viceconte, Daniele Pucci, Davide Scaramuzza
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