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1602 result(s) for “Deep Learning Methods” Page 1 of 33
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Policy Diversification through Representation Distinguishability Regularization for Multi-Actor Deep Reinforcement Learning AI summary
Meng XU, Xinhong Chen, Shuguang Wang, Guanyi Zhao, Jianping Wang
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Squeezing the Last Drop of Accuracy: Hand-Eye Calibration Via Deep Reinforcement Learning-Guided Pose Tuning AI summary
Seunghui Shin, Daeho Kim, Hyoseok Hwang
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Behavior Cloning-Enhanced Deep Reinforcement Learning for Robot Navigation Via Dynamic Reward and Adaptive Replanning AI summary
Jianning Chi, fusheng li, Wenjun Zhang, Yongming Yang
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Deep Reinforcement Learning-Based Motion Planning and PDE Control for Flexible Manipulators AI summary
Amir Hossein Barjini, Seyed Adel Alizadeh Kolagar, Sadeq Yaqubi, Jouni Mattila
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NaviGait: Navigating Dynamically Feasible Gait Libraries Using Deep Reinforcement Learning AI summary
Neil Janwani, Varun Madabushi, Maegan Tucker
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Multi-Dimensional Perturbation Strategies for Adversarial Attacks in Multi-Agent Deep Reinforcement Learning AI summary
Runwen Chen, shuo feng, Tianzhe Qi, yucheng shi, Xiaorong Hu, Yang Zhao, bo sun, Zhao Jin, Yizhe Luo, Mingliang Xu
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Simultaneous Deep Model-Based Reinforcement Learning and State Inference under Partial Observability AI summary
William Cong, Josiah Hanna
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GRATE: A Graph Transformer-Based Deep Reinforcement Learning Approach for Time-Efficient Autonomous Robot Exploration AI summary
Haozhan Ni, Jingsong Liang, Chenyu He, Yuhong Cao, Guillaume Adrien Sartoretti
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DYNAMO: Dependency-Aware Deep Learning Framework for Articulated Assembly Motion Prediction AI summary
Mayank Patel, Rahul Jain, Asim Unmesh, Karthik Ramani
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Deep Reinforcement Learning for Reach-Avoid-Stay Problems AI summary
Gabriel Chenevert, Jingqi Li, Achyuta Kannan, Sangjae Bae, Donggun Lee
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URPlanner: A Universal Paradigm for Collision-Free Robotic Motion Planning Based on Deep Reinforcement Learning AI summary
Fengkang Ying, Hanwen Zhang, Haozhe Wang, Huishi Huang, Marcelo H Ang Jr
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TaSA: Two-Phased Deep Predictive Learning of Tactile Sensory Attenuation for Improving In-Grasp Manipulation AI summary
Pranav Ponnivalavan, Satoshi Funabashi, Alexander Schmitz, Tetsuya Ogata, Shigeki Sugano
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Floating-Base Deep Lagrangian Networks AI summary
Lucas Schulze, Juliano Negri, Victor Barasuol, Vivian Suzano Medeiros, Marcelo Becker, Jan Peters, Oleg Arenz
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Deep Sensorimotor Control by Imitating Predictive Models of Human Motion AI summary
Himanshu Gaurav Singh, Pieter Abbeel, Jitendra Malik, Antonio Loquercio
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360DVO: Deep Visual Odometry for Monocular 360-Degree Camera AI summary
Xiaopeng Guo, Yinzhe XU, Huajian Huang, Sai-Kit Yeung
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Real-World Robot Control by Deep Active Inference With a Temporally Hierarchical World Model AI summary
Kentaro Fujii, Shingo Murata
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Semantically-Driven Deep Reinforcement Learning for Inspection Path Planning AI summary
Grzegorz Malczyk, Mihir Kulkarni, Kostas Alexis
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DRO-EDL-MPC: Evidential Deep Learning-Based Distributionally Robust Model Predictive Control for Safe Autonomous Driving AI summary
Hyeongchan Ham, Heejin Ahn
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Trajectory Planning for UAV-Based Smart Farming Using Imitation-Based Triple Deep Q-Learning AI summary
Wencan Mao, Quanxi Zhou, Tomás Couso Coddou, Manabu Tsukada, Liu Yunling, Yusheng Ji
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Deep Photonic Reservoir Computer Meets UAV Control: An Ultra-Fast Learning-Based Compensator for Agile Flight in Confined Space AI summary
Qinxiao Ma, Ruiqian Li, Cheng Wang, Yang Wang
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Intent Recognition in Gait Transition Using Muscle Volume Sensors with Deep Learning AI summary
Geonwoo Park, MooJin Woo, Jiwoo Oh, Hyeon Chan Chei, Keonyoung Oh
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Trailer-aware End-to-end Autonomous Driving for Tractor-Trailers with Deep Reinforcement Learning AI summary
Congfei Li, Yang Li, Peigen Liu, Rongqi Gu, Zuolei Sun, Yuxiang Sun
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EEG-Driven Intention Decoding: Offline Deep Learning Benchmarking on a Robotic Rover AI summary
Ghadah Alosaimi, Maha Alsayyari, Yixin Sun, Stamos Katsigiannis, Amir Atapour-Abarghouei, Toby Breckon
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Deep Reinforcement Learning for Hip Exoskeleton Control Via Predictive Simulation of Reflex-Based Human Gait AI summary
Hossein Barati, Sangdo Kim, Thanh Xuan Nguyen, Jongwon Lee, Young Jin Park
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Vision-Guided Robotic Grinding with Deep Learning-Based Bead Segmentation and Digital Twin Verification AI summary
Seong Hyeon Kim, Hyo-Young Kim
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Non-Contact Tactile Perception in Human-Robot Interaction: Deep Learning-Enhanced Super-Resolution Spatial Sensing AI summary
Shuyao Zhou, Jikai Liang, Zhengjie Zhu, Kong Depeng, Zhiao He, Honghao Lyu, Geng Yang
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Demonstration-Augmented Deep Reinforcement Learning with Mixed Reality Human-In-The-Loop Guidance AI summary
Mohammad-Ehsan Matour, Alexander Winkler
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Deep Learning�Driven Tumor Boundary Estimation Using Robotic Palpation in Minimally Invasive Surgery AI summary
Youngjun Ryu, Jeongbin Hong, Hyeonwoo Kee, Sukho Park
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Deep Visual Odometry for Stereo Event Cameras AI summary
Sheng Zhong, Junkai Niu, Yi Zhou
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HIPPO-MAT: Decentralized Task Allocation Using GraphSAGE and Multi-Agent Deep Reinforcement Learning AI summary
Lavanya Ratnabala,, Robinroy Peter,, Aleksey Fedoseev, and Dzmitry Tsetserukou
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Online Planning for Multi-UAV Pursuit-Evasion in Unknown Environments Using Deep Reinforcement Learning AI summary
Jiayu Chen, Chao Yu, Guosheng Li, Wenhao Tang, Shilong Ji, Xinyi Yang, Botian Xu, Huazhong Yang, Yu Wang
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JuggleRL: Mastering Ball Juggling with a Quadrotor Via Deep Reinforcement Learning AI summary
Shilong Ji, Yinuo Chen, Chuqi Wang, Jiayu Chen, Ruize Zhang, Feng Gao, Wenhao Tang, Shu'ang Yu, Sirui Xiang, Xinlei Chen, Chao Yu, Yu Wang
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Distributed First-Order and Second-Order Adaptive Hybrid Optimization for Multi-Robot Learning AI summary
Yilun Zhang, Xianghua Xie, Lu Zhang
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Lightweight Guidance Sampling and Deep Refinement Reconstruction Network for Adaptive Compressive Sensing AI summary
Zhaoxin Cai, Yunzhou Zhang, Haoyue Bai, Lu Wang, Tengda Zhang, Sizhan Wang, Shibo Zhang
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Behavior-Controllable Stable Dynamics Models on Riemannian Configuration Manifolds AI summary
Byeongho Lee, Yonghyeon Lee, Junsu Ha, Frank Park
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GRAM: Generalization in Deep RL with a Robust Adaptation Module AI summary
James Queeney, Xiaoyi Cai, Alexander Schperberg, Radu Corcodel, Mouhacine Benosman, Jonathan How
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Robot Deformable Object Manipulation Via NMPC-Generated Demonstrations in Deep Reinforcement Learning AI summary
Haoyuan Wang, Zihao Dong, Tong Zhu, HongLiang Lei, Weizhuang Shi, Zejia Zhang, Wei Luo, Weiwei Wan, Xinxing Chen, Jian Huang
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CDV-SLAM: Compact Deep Visual SLAM with Unified Semantic and Geometric Perception AI summary
Ya Fan, Rongling Lang
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Depth-Constrained ASV Navigation with Deep RL and Limited Sensing AI summary
Amirhossein Zhalehmehrabi, Daniele Meli, Francesco Dal Santo, Francesco Trotti, Alessandro Farinelli
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U2E: Uncertainty-Aware Modeling and Uncertainty-Guided Exploration with Deep Ensemble for Quadrupedal Robot AI summary
Zitong Bai, Yince Gao, Naiyuan Liu, Yiming Huang, Xiaolong Yu, Wei Wang
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COLSON: Controllable Learning-Based Social Navigation Via Diffusion-Based Reinforcement Learning AI summary
Kohei Matsumoto, Yuki Tomita, Yuki Hyodo, Ryo Kurazume
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HAVEN: Hierarchical Adversary-Aware Visibility-Enabled Navigation with Cover Utilization Using Deep Transformer Q-Networks AI summary
Mihir Chauhan, Damon Conover, Aniket Bera
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SwarmNav: Swarm Robotics Navigation in Dynamic and Dense Environments Via Reinforcement Learning AI summary
Shengbo Li, Chuanjie Lv, Xiangqian Yuan, Liming Xu, Xinyang Liu, Zongzhi Zhu, Gang Xu, Yong Liu
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SF-ODNav: Successor Feature Framework for Map-Less Target-Driven Outdoor Visual Navigation AI summary
Junzhe Wu, Jiaming Zhang, Tingrong Zhang, Ruining Tao, Huy Tran, Girish Chowdhary
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Physics-Constrained Imitation Learning for Autonomous Racing AI summary
Haohan Yang, Haochen Liu, Zhou Yanxin, Shuge Wu, Chen Lv
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Unveiling Uncertainty-Aware Autonomous Cooperative Learning Based Planning Strategy AI summary
Shiyao Zhang, Liwei Deng, Shuyu Zhang, Weijie Yuan, Hong Zhang
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MILD: Tractable Terrain Modeling for Learning Improved Bipedal Locomotion on Deformable Surfaces AI summary
Zeren Luo, Jiahui ZHANG, Zhe Xu, Wanyue Li, Xinqi Li, Xuechao Chen, Zhangguo YU, Annan Tang, Peng Lu
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LighterBEV: LiDAR Global Localization Meets Online Learning AI summary
BinHong Liu, Tao Yang, Haoji Cao, Shuqi FU, YangWang Fang, Zhi Yan
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When the Adversary Knows You Better: Adversarial Training for Learning-Based Legged Robots AI summary
Qinchao Xu, Satoshi Yagi, Satoshi Yamamori, Jun Morimoto
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Learning Conservative Neural Control Barrier Functions from Demonstrations AI summary
Ihab Tabbara, Hussein Sibai
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