Guardado en:
| Autores principales: | Wang, Wen, Wu, Xiangchen, Wang, Liang, Hu, Hao, Tao, Xianping, Zhang, Linghao |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2508.17087 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Unified Knowledge Embedded Reinforcement Learning-based Framework for Generalized Capacitated Vehicle Routing Problems
por: Wang, Wen, et al.
Publicado: (2026)
por: Wang, Wen, et al.
Publicado: (2026)
iMTSP: Solving Min-Max Multiple Traveling Salesman Problem with Imperative Learning
por: Guo, Yifan, et al.
Publicado: (2024)
por: Guo, Yifan, et al.
Publicado: (2024)
On Fréchet Traveling Salesmen Problems
por: Filtser, Omrit, et al.
Publicado: (2026)
por: Filtser, Omrit, et al.
Publicado: (2026)
Multimodal Fused Learning for Solving the Generalized Traveling Salesman Problem in Robotic Task Planning
por: Cheng, Jiaqi, et al.
Publicado: (2025)
por: Cheng, Jiaqi, et al.
Publicado: (2025)
MinMaxMin $Q$-learning
por: Soffair, Nitsan, et al.
Publicado: (2024)
por: Soffair, Nitsan, et al.
Publicado: (2024)
Unsupervised Learning for Solving the Travelling Salesman Problem
por: Min, Yimeng, et al.
Publicado: (2023)
por: Min, Yimeng, et al.
Publicado: (2023)
Construct, Merge, Solve & Adapt with Reinforcement Learning for the min-max Multiple Traveling Salesman Problem
por: Rodríguez-Corominas, Guillem, et al.
Publicado: (2026)
por: Rodríguez-Corominas, Guillem, et al.
Publicado: (2026)
Smooth Min-Max Monotonic Networks
por: Igel, Christian
Publicado: (2023)
por: Igel, Christian
Publicado: (2023)
Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem
por: Goh, Yong Liang, et al.
Publicado: (2022)
por: Goh, Yong Liang, et al.
Publicado: (2022)
Reinforcement Learning-based Non-Autoregressive Solver for Traveling Salesman Problems
por: Xiao, Yubin, et al.
Publicado: (2023)
por: Xiao, Yubin, et al.
Publicado: (2023)
DRF: LLM-AGENT Dynamic Reputation Filtering Framework
por: Lou, Yuwei, et al.
Publicado: (2025)
por: Lou, Yuwei, et al.
Publicado: (2025)
On the Approximability of Train Routing and the Min-Max Disjoint Paths Problem
por: Bhaskar, Umang, et al.
Publicado: (2025)
por: Bhaskar, Umang, et al.
Publicado: (2025)
Bridging Expectation Signals: LLM-Based Experiments and a Behavioral Kalman Filter Framework
por: Wang, Yu, et al.
Publicado: (2026)
por: Wang, Yu, et al.
Publicado: (2026)
MaxMin-RLHF: Alignment with Diverse Human Preferences
por: Chakraborty, Souradip, et al.
Publicado: (2024)
por: Chakraborty, Souradip, et al.
Publicado: (2024)
MinMax Recurrent Neural Cascades
por: Ronca, Alessandro
Publicado: (2026)
por: Ronca, Alessandro
Publicado: (2026)
Bandit based Dynamic Candidate Edge Selection in Solving Traveling Salesman Problems
por: Wang, Long, et al.
Publicado: (2025)
por: Wang, Long, et al.
Publicado: (2025)
Properties of Fixed Points of Generalised Extra Gradient Methods Applied to Min-Max Problems
por: Farzin, Amir Ali, et al.
Publicado: (2025)
por: Farzin, Amir Ali, et al.
Publicado: (2025)
Generalization in LLM Problem Solving: The Case of the Shortest Path
por: Tong, Yao, et al.
Publicado: (2026)
por: Tong, Yao, et al.
Publicado: (2026)
GELD: A Unified Neural Model for Efficiently Solving Traveling Salesman Problems Across Different Scales
por: Xiao, Yubin, et al.
Publicado: (2025)
por: Xiao, Yubin, et al.
Publicado: (2025)
MGCBS: An Optimal and Efficient Algorithm for Solving Multi-Goal Multi-Agent Path Finding Problem
por: Tang, Mingkai, et al.
Publicado: (2024)
por: Tang, Mingkai, et al.
Publicado: (2024)
Learning to Solve the Min-Max Mixed-Shelves Picker-Routing Problem via Hierarchical and Parallel Decoding
por: Luttmann, Laurin, et al.
Publicado: (2025)
por: Luttmann, Laurin, et al.
Publicado: (2025)
Max-Min Fairness for Uplink Rate-Splitting Multiple Access with Finite Blocklength
por: Xu, Jiawei, et al.
Publicado: (2024)
por: Xu, Jiawei, et al.
Publicado: (2024)
Freeze and Conquer: Reusable Ansatz for Solving the Traveling Salesman Problem
por: Fagiolo, Fabrizio, et al.
Publicado: (2025)
por: Fagiolo, Fabrizio, et al.
Publicado: (2025)
Cross-Problem Learning for Solving Vehicle Routing Problems
por: Lin, Zhuoyi, et al.
Publicado: (2024)
por: Lin, Zhuoyi, et al.
Publicado: (2024)
Heuristic for Min-Max Heterogeneous Multi-Vehicle Multi-Depot Traveling Salesman Problem
por: Kumar, Deepak Prakash, et al.
Publicado: (2023)
por: Kumar, Deepak Prakash, et al.
Publicado: (2023)
Max It or Miss It: Benchmarking LLM On Solving Extremal Problems
por: Gao, Binxin, et al.
Publicado: (2025)
por: Gao, Binxin, et al.
Publicado: (2025)
Solving the Traveling Salesman Problem via Different Quantum Computing Architectures
por: Padmasola, Venkat, et al.
Publicado: (2025)
por: Padmasola, Venkat, et al.
Publicado: (2025)
GHOST: Solving the Traveling Salesman Problem on Graphs of Convex Sets
por: Tang, Jingtao, et al.
Publicado: (2025)
por: Tang, Jingtao, et al.
Publicado: (2025)
Linear Equations with Min and Max Operators: Computational Complexity
por: Chatterjee, Krishnendu, et al.
Publicado: (2024)
por: Chatterjee, Krishnendu, et al.
Publicado: (2024)
Looking Ahead to Avoid Being Late: Solving Hard-Constrained Traveling Salesman Problem
por: Chen, Jingxiao, et al.
Publicado: (2024)
por: Chen, Jingxiao, et al.
Publicado: (2024)
An Adaptive Three-Stage Algorithm For Solving Adjustable Min-Max-Regret Problems
por: Schneider, Kerstin, et al.
Publicado: (2024)
por: Schneider, Kerstin, et al.
Publicado: (2024)
An End-to-End Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drones
por: Zeng, Taihelong, et al.
Publicado: (2025)
por: Zeng, Taihelong, et al.
Publicado: (2025)
Bayesian Neural Networks: A Min-Max Game Framework
por: Hong, Junping, et al.
Publicado: (2023)
por: Hong, Junping, et al.
Publicado: (2023)
An Efficient Max-Min Fair Resource Optimization Algorithm for Rate-Splitting Multiple Access
por: Luo, Facheng, et al.
Publicado: (2025)
por: Luo, Facheng, et al.
Publicado: (2025)
Research on Travel Route Planing Problems Based on Greedy Algorithm
por: Wang, Yiquan
Publicado: (2024)
por: Wang, Yiquan
Publicado: (2024)
Multi-Objective Reinforcement Learning with Max-Min Criterion: A Game-Theoretic Approach
por: Byeon, Woohyeon, et al.
Publicado: (2025)
por: Byeon, Woohyeon, et al.
Publicado: (2025)
Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement Learning
por: Li, Qi, et al.
Publicado: (2025)
por: Li, Qi, et al.
Publicado: (2025)
Statistical Mechanics of Min-Max Problems
por: Ichikawa, Yuma, et al.
Publicado: (2024)
por: Ichikawa, Yuma, et al.
Publicado: (2024)
Equity-Transformer: Solving NP-hard Min-Max Routing Problems as Sequential Generation with Equity Context
por: Son, Jiwoo, et al.
Publicado: (2023)
por: Son, Jiwoo, et al.
Publicado: (2023)
Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process
por: Xiao, Tong, et al.
Publicado: (2024)
por: Xiao, Tong, et al.
Publicado: (2024)
Ejemplares similares
-
A Unified Knowledge Embedded Reinforcement Learning-based Framework for Generalized Capacitated Vehicle Routing Problems
por: Wang, Wen, et al.
Publicado: (2026) -
iMTSP: Solving Min-Max Multiple Traveling Salesman Problem with Imperative Learning
por: Guo, Yifan, et al.
Publicado: (2024) -
On Fréchet Traveling Salesmen Problems
por: Filtser, Omrit, et al.
Publicado: (2026) -
Multimodal Fused Learning for Solving the Generalized Traveling Salesman Problem in Robotic Task Planning
por: Cheng, Jiaqi, et al.
Publicado: (2025) -
MinMaxMin $Q$-learning
por: Soffair, Nitsan, et al.
Publicado: (2024)