学习 分类论文(5,491)
清除筛选 ✕RotVLA：面向视觉-语言-动作模型的旋转潜在动作
Qiwei Li, Xicheng Gong, Xinghang Li 等 8 位作者
2026
Trajectory-Level Data Augmentation for Offline Reinforcement Learning
Tobias Schmähling, Matthias Burkhardt, Tobias Windisch
2026
具身神经计算：一种与缩放任务驱动验证接口的生物神经培养框架
Johnson Zhou, Daniel Tanneberg, Forough Habibollahi 等 15 位作者
2026
通过学习的推前映射实现遍历轨迹设计：基于条件流匹配的可证明覆盖
Ehsan Aghazadeh, Masoud Malekzadeh, Ahmad Ghasemi 等 4 位作者
2026
Few-Shot Physics-Informed Neural Network for Shape Reconstruction of Concentric-Tube Robots
Navid Feizi, Filipe C. Pedrosa, Rajni V. Patel 等 4 位作者
2026
Identifying the nonlinear string dynamics with port-Hamiltonian neural networks
Maximino Linares, Guillaume Doras, Thomas Hélie
2026
自适应光滑切比雪夫注意力用于多目标策略优化
Alejandro Murillo-Gonzalez, Mahmoud Ali, Lantao Liu
2026
3D RL-DWA: A Hybrid Reinforcement Learning and Dynamic Window Approach for Goal-Directed Local Navigation in Multi-DoF Robots
Chiara Castellani, Enrico Turco, Domenico Prattichizzo
2026
Driving Intents Amplify Planning-Oriented Reinforcement Learning
Hengtong Lu, Victor Shea-Jay Huang, Chengmin Yang 等 7 位作者
2026
Multi-market value-stacking: Battery control for combined imbalance participation and non-uniform FCR bidding
Celle Hendrickx, Fabio Pavirani, Chris Develder
2026
对齐流图策略与最优Q引导
Christos Ziakas, Alessandra Russo, Avishek Joey Bose
2026
GuidedVLA: Specifying Task-Relevant Factors via Plug-and-Play Action Attention Specialization
Xiaosong Jia, Bowen Yang, Zuhao Ge 等 20 位作者
2026
基于熵最大化的流形采样
Cornelius V. Braun, Tilman Burghoff, Marc Toussaint
2026
TMRL：扩散时间步调制预训练实现高效策略微调的探索
Matthew M. Hong, Jesse Zhang, Anusha Nagabandi 等 4 位作者
2026
Neural Network-Based Virtual Wheel-Speed Sensor for Enhanced Low-Velocity State Estimation
Hendrik Schäfke, Daniel O. M. Weber, Askar Vagapov 等 6 位作者
2026
OrbiSim：作为具身智能可微分物理引擎的世界模型
Jiajian Li, Jingyuan Huang, Junru Gong 等 6 位作者
2026
学习关键因素：用于机器人探索的自适应信息论目标
Youwei Yu, Jionghao Wang, Zhengming Yu 等 5 位作者
2026
NavOL: Navigation Policy with Online Imitation Learning
Xiaofei Wei, Chun Gu, Li Zhang
2026
Nautilus: From One Prompt to Plug-and-Play Robot Learning
Yufeng Jin, Jianfei Guo, Xiaogang Jia 等 11 位作者
2026
Hierarchical LLM-Driven Control for HAPS-Assisted UAV Networks: Joint Optimization of Flight and Connectivity
Zijiang Yan, Hao Zhou, Wael Jaafar 等 7 位作者
2026
TOPPO: Rethinking PPO for Multi-Task Reinforcement Learning with Critic Balancing
Yuanpeng Li, Gefei Lin, Annie Qu 等 4 位作者
2026
Beyond Prediction: Interval Neural Networks for Uncertainty-Aware System Identification
Mehmet Ali Ferah, Tufan Kumbasar
2026
Learning When to Act: Communication-Efficient Reinforcement Learning via Run-Time Assurance
Adam Haroon, Erick J. Rodríguez-Seda, Cody Fleming 等 4 位作者
2026
RankQ: Offline-to-Online Reinforcement Learning via Self-Supervised Action Ranking
Andrew Choi, Wei Xu
2026