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990 result(s) for “Physics-Informed Machine Learning” Page 5 of 20
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Multi-Task Reinforcement Learning of Drone Aerobatics by Exploiting Geometric Symmetries AI summary
Zhanyu Guo,, Zikang Yin,, Guobin Zhu,, Shiliang Guo, and Shiyu Zhao∗
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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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Learning Composable Skills by Discovering Spatial and Temporal Structure with Foundation Models AI summary
Neil Nie, Wenlong Huang, Jiayuan Mao, Li Fei-Fei, Weiyu Liu, Jiajun Wu
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Learning-Based Robust Control: Unifying Exploration and Distributional Robustness for Reliable Robotics Via Free Energy AI summary
Hozefa Jesawada, Giovanni Russo, Abdalla Swikir, Fares Abu-Dakka
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Reinforcement Learning for Active Perception in Autonomous Navigation AI summary
Grzegorz Malczyk, Mihir Kulkarni, Kostas Alexis
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CLAR: Learning 3D Representations for Robotic Manipulation by Fusing Masked Reconstruction with Multi-Level Contrastive Alignment AI summary
Wenbo Cui, Chengyang Zhao, Yuhui Chen, Haoran Li, Zhizheng Zhang, Dongbin Zhao, He Wang
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Parallel Heuristic Search As Inference for Actor-Critic Reinforcement Learning Models AI summary
Hanlan Yang, Itamar Mishani, Luca Pivetti, Zachary Kingston, Maxim Likhachev
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Robust Monocular Visual Odometry Via Dual-Paradigm Curriculum Learning AI summary
Assaf Lahiany, Oren Gal
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EgoMI: Learning Active Vision and Whole-Body Manipulation from Egocentric Human Demonstrations AI summary
Justin Yu, Yide Shentu, Di Wu, Pieter Abbeel, Ken Goldberg, Shiyao Wu
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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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Learning Dexterous Manipulation Skills from Imperfect Simulations AI summary
Elvis Hsieh, Wen-Han Hsieh, Yen-Jen Wang, Toru Lin, Jitendra Malik, Koushil Sreenath, Haozhi Qi
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Risk-Aware Reinforcement Learning with Bandit-Based Adaptation for Quadrupedal Locomotion AI summary
Yuanhong Zeng, Anushri Dixit
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Shifted Flow Policy: Uncertainty-Aware Time Reparameterization for Visuomotor Learning AI summary
Dasom Ahn, Chanhyuk Jung, Joonki Baek, Sungkeun Yoo, Byoung Chul Ko
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A Self-Supervised Learning Approach with Differentiable Optimization for UAV Trajectory Planning AI summary
Yufei Jiang, Yuanzhu Zhan, Harsh vardhan Gupta, Chinmay Mahendra Borde, Junyi Geng
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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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Swimming under Constraints: A Safe Reinforcement Learning Framework for Quadrupedal Bio-Inspired Propulsion AI summary
Xinyu Cui, Fei Han, Hang Xu, Yongcheng Zeng, Luoyang Sun, RuiZhi Zhang, Jian Zhao, Haifeng Zhang, Weikun Li, Hao Chen, Jun Wang, Dixia Fan
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SIT-LMPC: Safe Information-Theoretic Learning Model Predictive Control for Iterative Tasks AI summary
Zirui Zang, Ahmad Amine, Nick-Marios Kokolakis, Truong Xuan Nghiem, Ugo Rosolia, Rahul Mangharam
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Efficient Hierarchical Reinforcement Learning with Dynamic Kolmogorov�Arnold Network for Long-Horizon Robotic Manipulation AI summary
Yuke Qu, Junkai Ren, Jiawei Luo, Yufeng Xie, Huimin Lu, Xin Xu, Yicong Ye
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SHaRe-RL: Structured, Interactive Reinforcement Learning for Contact-Rich Industrial Assembly Tasks AI summary
Jannick Stranghöner, Philipp Hartmann, Lisa-Marie Weigelt, Marco Braun, Sebastian Wrede, Klaus Neumann
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Precedence-Aware Multi-UAV Task Allocation with an Attention-Based Reinforcement Learning Framework AI summary
Xurui Liu
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Vision-Based Policy Learning for High-Speed Autonomous Racing AI summary
Haoran Xu, Xianwei Chen, Yilin Lang, Qinyuan Ren
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Full-Scale Autonomous Highway Inspection with Quadruped Robot: Multi-Level Locomotion Learning in Complex Environments AI summary
Chenxiang Ma, Chengcheng Xu, Feng Wang
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RM-RL: Role-Model Reinforcement Learning for Precise Robot Manipulation AI summary
Xiangyu Chen, Chuhao Zhou, Yuxi Liu, Jianfei Yang
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Proactive Risk-Aware Trajectory Planning for Autonomous Driving in Unstructured Environments Via Reinforcement Learning with Adaptive Reward Design AI summary
Jiawei Du, Weiming Qu, Shenghai Yuan, Jia Wang, qifei bai, chengguang li, Xihong Wu, Dingsheng Luo
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Overcoming Imperfect Kinematics in Surgical Robotics through Sim-To-Real Visuomotor Learning AI summary
Zhaoxuan Yan, Kaizhong Deng, Zhaoyang Jacopo Hu, George Mylonas, Daniel Elson
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Human2Nav: Learning Crowd Navigation from Human Videos across Robots Via Feasibility-Guided Flow Matching AI summary
Shenghong Zhang, JunJie Chen, Sichi Yan, Yutong Ban, Xiao Li
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Learning Generalizable Robot Policy with Human Demonstration Video as a Prompt AI summary
Xiang Zhu, Yichen Liu, Hezhong Li, Jianyu Chen
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OCRA: Object-Centric Learning with 3D and Tactile Priors for Human-To-Robot Action Transfer AI summary
Kuanning Wang, Ke Fan, Yuqian Fu, Siyu Lin, Hu Luo, Daniel Seita, Yanwei Fu, Yu-Gang Jiang, Xiangyang Xue
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SURF-Loco: Mastering Complex Industrial Terrains with 3D Surfel-Based Reinforcement Learning for Legged Robots AI summary
Bailin He, Xiting Zhao, Qiao Sun, Xiaoyi Hu, haojie Liu, Jiangwei Zhong, Wenqiang Zhang
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DAPPER: Discriminability-Aware Policy-To-Policy Preference-Based Reinforcement Learning for Query-Efficient Robot Skill Acquisition AI summary
Yuki Kadokawa, Jonas Frey, Takahiro Miki, Takamitsu Matsubara, Marco Hutter
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Learning Motion Skills with Adaptive Assistive Curriculum Force in Humanoid Robots AI summary
Zhanxiang Cao, Yang Zhang, Buqing Nie, Huangxuan Lin, Haoyang Li, Yizhi Chen, Xiaokang Yang, Yue Gao
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Graph-Based Multi-Agent Reinforcement Learning for Scalable UAV Formation Control and Target Tracking AI summary
Haowen Wang, Shuting Zhang, Guangchen Li
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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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Robot Crash Course: Learning Soft and Stylized Falling AI summary
Pascal Strauch, David Müller, Sammy Christen, Agon Serifi, Ruben Grandia, Espen Knoop, Moritz Bächer
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Cross-Embodiment Imitation: Learning a Unified Latent Space for Multi-Robot Control AI summary
Yashuai Yan, Dongheui Lee
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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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Efficient and Versatile Quadrupedal Skating: Optimal Co-Design Via Reinforcement Learning and Bayesian Optimization AI summary
Hanwen Wang, Zhenlong Fang, Josiah Hanna, Xiaobin Xiong
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TADPO: Reinforcement Learning Goes Off-Road AI summary
Zhouchonghao Wu, Raymond Song, Vedant Mundheda, Luis E. Navarro-Serment, Christof Schoenborn, Jeff Schneider
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SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning AI summary
Yu Zhang, Yuqi Xie, Huihan Liu, Rutav Shah, Michael Wan, Linxi Fan, Yuke Zhu
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Continual Learning for Traversability Prediction with Uncertainty-Aware Adaptation AI summary
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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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TreeIRL: Safe Urban Driving with Tree Search and Inverse Reinforcement Learning AI summary
Momchil Tomov, Sang Uk Lee, Hansford Hendargo, Jinwook Huh, Teawon Han, Forbes Howington, Rafael Rodrigues da Silva, Gianmarco Bernasconi, Marc Heim, Samuel Findler, Xiaonan Ji, Alexander Boule, Michael Napoli, Kuo Chen, Jesse Miller, Boaz Cornelis Floor, Yunqing Hu
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Efficiently Learning Robust Torque-Based Locomotion through Reinforcement with Model-Based Supervision AI summary
Yashuai Yan, Tobias Egle, Christian Ott, Dongheui Lee
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Curriculum Reinforcement Learning for Quadrotor Racing with Random Obstacles AI summary
Fangyu Sun, Fanxing Li, Yu Hu, Linzuo Zhang, Yueqian Liu, Wenxian Yu, Danping Zou
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Switch: Learning Agile Skills Switching for Humanoid Robots AI summary
Yuen-Fui Lau, Qihan Zhao, Yinhuai WANG, Runyi Yu, Hok Wai Tsui, Qifeng Chen, Ping Tan
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ORN-CBF: Learning Observation-Conditioned Residual Neural Control Barrier Functions Via Hypernetworks AI summary
Bojan Derajic, Sebastian Bernhard, Wolfgang Hoenig
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Rainbow-DemoRL: Combining Improvements in Demonstration-Augmented Reinforcement Learning AI summary
Dwait Bhatt, Shih-Chieh Chou, Nikolay Atanasov
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Deformable Cluster Manipulation Via Whole-Arm Policy Learning AI summary
Jayadeep Jacob, Wenzheng Zhang, Houston Warren, Paulo Vinicius Koerich Borges, Fabio Ramos, Tirthankar Bandyopadhyay
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DexSinGrasp: Learning a Unified Policy for Dexterous Object Singulation and Grasping in Densely Cluttered Environments AI summary
Lixin Xu, Zixuan Liu, ZHEWEI GUI, Jingxiang Guo, Zeyu Jiang, Tongzhou Zhang, Zhixuan Xu, Chongkai Gao, Lin Shao
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Learning Push-Grasp Synergy for Occluded Objects in Cluttered Environments AI summary
Ziang Li, Haorui Wu, Zhiqi Chen, Haozhe Zhang, Yuzhe Huang, Changshui Zhang
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