学习 分类论文(5,491)
清除筛选 ✕Beyond Conservative Automated Driving in Multi-Agent Scenarios via Coupled Model Predictive Control and Deep Reinforcement Learning
Saeed Rahmani, Gözde Körpe, Zhenlin 等 7 位作者
2026
Hardware-Efficient Neuro-Symbolic Networks with the Exp-Minus-Log Operator
Eymen Ipek
2026
EmbodiedClaw: Conversational Workflow Execution for Embodied AI Development
Xueyang Zhou, Yihan Sun, Xijie Gong 等 7 位作者
2026
Failure Identification in Imitation Learning Via Statistical and Semantic Filtering
Quentin Rolland, Fabrice Mayran de Chamisso, Jean-Baptiste Mouret
2026
A Dynamic-Growing Fuzzy-Neuro Controller, Application to a 3PSP Parallel Robot
Mohsen Jalaeian-Farimani, Mohammad-R Akbarzadeh-T, Alireza Akbarzadeh 等 4 位作者
2026
Behavioral Systems Theory Meets Machine Learning: Control-Aware Learning of the Intrinsic Behavior from Big Data
Yitao Yan, Yu Tong, Jie Bao 等 4 位作者
2026
UNRIO: Uncertainty-Aware Velocity Learning for Radar-Inertial Odometry
Jui-Te Huang, Tinashu Huang, Anthony Rowe 等 4 位作者
2026
VPD-Centric Cascading Control with Neural Network Optimization for Energy-Efficient Climate Management in Controlled Environment Agriculture
Andrii Vakhnovskyi
2026
Asymmetric-Loss-Guided Hybrid CNN-BiLSTM-Attention Model for Industrial RUL Prediction with Interpretable Failure Heatmaps
Mohammed Ezzaldin Babiker Abdullah
2026
Outperforming Self-Attention Mechanisms in Solar Irradiance Forecasting via Physics-Guided Neural Networks
Mohammed Ezzaldin Babiker Abdullah, Rufaidah Abdallah Ibrahim Mohammed
2026
HierFedCEA: Hierarchical Federated Edge Learning for Privacy-Preserving Climate Control Optimization Across Heterogeneous Controlled Environment Agriculture Facilities
Andrii Vakhnovskyi
2026
Structure- and Stability-Preserving Learning of Port-Hamiltonian Systems
Binh Nguyen, Nam T. Nguyen, Truong X. Nghiem
2026
HUANet: Hard-Constrained Unrolled ADMM for Constrained Convex Optimization
Trinh Tran, Binh Nguyen, Truong X. Nghiem
2026
E2E-Fly: An Integrated Training-to-Deployment System for End-to-End Quadrotor Autonomy
Fangyu Sun, Fanxing Li, Linzuo Zhang 等 8 位作者
2026
Contextual Multi-Task Reinforcement Learning for Autonomous Reef Monitoring
Melvin Laux, Yi-Ling Liu, Rina Alo 等 7 位作者
2026
A Comparison of Reinforcement Learning and Optimal Control Methods for Path Planning
Qiang Le, Yaguang Yang, Isaac E. Weintraub
2026
Goal-oriented safe active learning for predictive control using Bayesian recurrent neural networks
Laura Boca de Giuli, Alessio La Bella, Manish Prajapat 等 7 位作者
2026
From Kinematics to Dynamics: Learning to Refine Hybrid Plans for Physically Feasible Execution
Lidor Erez, Shahaf S. Shperberg, Ayal Taitler
2026
Enhanced Optimal Power Flow Using a Trained Neural Network Surrogate for Distribution Grid Constraints
Savvas Panagi, Chrysovalantis Spanias, Petros Aristidou
2026
Learning step-level dynamic soaring in shear flow
Lunbing Chen, Jixin Lu, Yufei Yin 等 6 位作者
2026
Thermodynamic Liquid Manifold Networks: Physics-Bounded Deep Learning for Solar Forecasting in Autonomous Off-Grid Microgrids
Mohammed Ezzaldin Babiker Abdullah
2026
Physics-Informed State Space Models for Reliable Solar Irradiance Forecasting in Off-Grid Systems
Mohammed Ezzaldin Babiker Abdullah
2026
Solving Physics Olympiad via Reinforcement Learning on Physics Simulators
Mihir Prabhudesai, Aryan Satpathy, Yangmin Li 等 9 位作者
2026
SCORP: Scene-Consistent Multi-agent Diffusion Planning with Stable Online Reinforcement Post-Training for Cooperative Driving
Haojie Bai, Aimin Li, Ruoyu Yao 等 8 位作者
2026