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975 result(s) for “Incremental Learning” Page 4 of 20
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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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SafeFlowMPC: Predictive and Safe Trajectory Planning for Robot Manipulators with Learning-Based Policies AI summary
Thies Oelerich, Gerald Ebmer, Christian Hartl-Nesic, Andreas Kugi
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KiRAS: Keyframe Guided Self-Imitation for Robust and Adaptive Skill Learning in Quadruped Robots AI summary
Xiaoyi Wei, Peng Zhai, Jiaxin Tu, Yueqi ZHang, Yuqi LI, Zonghao ZHang, Hu Zhou, Lihua ZHang
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Do You Know Where Your Camera Is? View-Invariant Policy Learning with Camera Conditioning AI summary
Tianchong Jiang, Jingtian Ji, Xiangshan Tan, Jiading Fang, Anand Bhattad, Vitor Guizilini, Matthew Walter
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Constructing and Navigating Connected Air Roads: A Safety-Critical Reinforcement Learning Approach for Multi-UAV Systems AI summary
Qihan Qi, Haojie Xia, Xinsong Yang, Jianquan Lu, Xingxing Ju
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Multivariate Active Learning and Adaptive Sampling with Multi-Kernel Gaussian Processes AI summary
Thien Hoang Nguyen, Nathan Wallace, Nicholas Harrison, and Salah Sukkarieh
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SEAL: Towards Safe Autonomous Driving Via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation AI summary
Benjamin Stoler, Ingrid Navarro, Jonathan Francis, Jean Oh
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Tactile Recognition of Both Shapes and Materials with Automatic Feature Optimization-Enabled Meta Learning AI summary
Hongliang Zhao, Wenhui Yang, Yang Chen, Zhuorui Wang, Baiheng Liu, Longhui Qin
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ARMOR: Attack-Resilient Reinforcement Learning Control for UAVs AI summary
Pritam Dash, Ethan Chan, Nathan P. Lawrence, Karthik Pattabiraman
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Transferring Policy of Offline Reinforcement Learning from Hybrid Dataset to Real World Via Progressive Neural Network AI summary
Pengyu Zhao, Zheng Fang, Tongxu Ai, Eric Nichols, Randy Gomez, Bo He, Guangliang Li
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Learning What Matters: Task Tailored Dynamics Models through Differentiable MPC AI summary
Jan Węgrzynowski, Piotr Kicki, Grzegorz Czechmanowski, Krzysztof, Tadeusz Walas
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Learning Dynamical System-Based Robot Motions from Demonstrations Via ODE-Driven Diffeomorphic Mappings AI summary
Haoyu Zhang, Long Cheng
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A Champion-Level Vision-Based Reinforcement Learning Agent for Competitive Racing in Gran Turismo 7 AI summary
Hojoon Lee, Takuma Seno, Jun Jet Tai, Kaushik Subramanian, Kenta Kawamoto, Peter Stone, Peter Wurman
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Supportive Relationships-Aware Hierarchical Reinforcement Learning for Efficient Ex-Situ Object Rearrangement AI summary
leibing xiao, Xuemei Wang, Zhao Zhongqiang, Yachao Wang, Jin Liu, Chaoqun Wang
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