学习 分类论文(5,950)
清除筛选 ✕Differentiable Optimization for Deep Learning-Enhanced DC Approximation of AC Optimal Power Flow
Andrew Rosemberg, Michael Klamkin, Pascal Van Hentenryck
2025
Machine Learning - Driven Materials Discovery: Unlocking Next-Generation Functional Materials - A review
Dilshod Nematov, Mirabbos Hojamberdiev
2025
Optimization over Trained Neural Networks: Difference-of-Convex Algorithm and Application to Data Center Scheduling
Xinwei Liu, Vladimir Dvorkin
2025
Sharp Hybrid Zonotopes: Set Operations and the Reformulation-linearization Technique
Jonah J. Glunt, Joshua A. Robbins, Jacob A. Siefert 等 5 位作者
2025
Replay4NCL: An Efficient Memory Replay-based Methodology for Neuromorphic Continual Learning in Embedded AI Systems
Mishal Fatima Minhas, Rachmad Vidya Wicaksana Putra, Falah Awwad 等 5 位作者
2025
Federated Digital Twin Construction via Distributed Sensing: A Game-Theoretic Online Optimization with Overlapping Coalitions
Ruoyang Chen, Changyan Yi, Fuhui Zhou 等 6 位作者
2025
Physics-Informed Deep B-Spline Networks
Zhuoyuan Wang, Raffaele Romagnoli, Saviz Mowlavi 等 4 位作者
2025
Deep Q-Learning with Gradient Target Tracking
Bum Geun Park, Taeho Lee, Donghwan Lee
2025
Privacy-Preserving Utilization of Distribution System Flexibility for Enhanced TSO-DSO Interoperability: A Novel Machine Learning-Based Optimal Power Flow Approach
Burak Dindar, Can Berk Saner, Hüseyin K. Çakmak 等 4 位作者
2025
Learning 3D Scene Analogies with Neural Contextual Scene Maps
Junho Kim, Gwangtak Bae, Eun Sun Lee 等 4 位作者
2025
Reward Training Wheels: Adaptive Auxiliary Rewards for Robotics Reinforcement Learning
Linji Wang, Tong Xu, Yuanjie Lu 等 4 位作者
2025
Robotic Paper Wrapping by Learning Force Control
Hiroki Hanai, Takuya Kiyokawa, Weiwei Wan 等 4 位作者
2025
Neural Lyapunov Function Approximation with Self-Supervised Reinforcement Learning
Luc McCutcheon, Bahman Gharesifard, Saber Fallah
2025
Lyapunov-Based Graph Neural Networks for Adaptive Control of Multi-Agent Systems
Brandon C. Fallin, Cristian F. Nino, Omkar Sudhir Patil 等 5 位作者
2025
Automated Functional Decomposition for Hybrid Zonotope Over-approximations with Application to LSTM Networks
Jonah J. Glunt, Jacob A. Siefert, Andrew F. Thompson 等 5 位作者
2025
A Personalized Data-Driven Generative Model of Human Repetitive Motion
Angelo Di Porzio, Marco Coraggio
2025
Reachable Sets-based Trajectory Planning Combining Reinforcement Learning and iLQR
Wenjie Huang, Yang Li, Shijie Yuan 等 6 位作者
2025
Diffusion-Based Forecasting for Uncertainty-Aware Model Predictive Control
Stelios Zarifis, Ioannis Kordonis, Petros Maragos
2025
Behaviour Discovery and Attribution for Explainable Reinforcement Learning
Rishav Rishav, Somjit Nath, Vincent Michalski 等 4 位作者
2025
Semi-Gradient SARSA Routing with Theoretical Guarantee on Traffic Stability and Weight Convergence
Yidan Wu, Yu Yu, Jianan Zhang 等 4 位作者
2025
Curiosity-Diffuser: Curiosity Guide Diffusion Models for Reliability
Zihao Liu, Xing Liu, Yizhai Zhang 等 5 位作者
2025
On a Dissimilarity Metric for Analyzing Body Synergistic Coordination in Non-Periodic Motion
Shunpei Fujii, Kanta Tachibana
2025
Improved Scalable Lipschitz Bounds for Deep Neural Networks
Usman Syed, Bin Hu
2025
Quantization-Free Autoregressive Action Transformer
Ziyad Sheebaelhamd, Michael Tschannen, Michael Muehlebach 等 4 位作者
2025