Copertina

iMTSP: Solving Min-Max Multiple Traveling Salesman Problem with Imperative Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Guo, Yifan, Ren, Zhongqiang, Wang, Chen
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Artificial Intelligence Machine Learning Robotics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Unsupervised Learning for Solving the Travelling Salesman Problem
di: Min, Yimeng, et al.
Pubblicazione: (2023)

Construct, Merge, Solve & Adapt with Reinforcement Learning for the min-max Multiple Traveling Salesman Problem
di: Rodríguez-Corominas, Guillem, et al.
Pubblicazione: (2026)

Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
di: Wang, Chen, et al.
Pubblicazione: (2024)

GHOST: Solving the Traveling Salesman Problem on Graphs of Convex Sets
di: Tang, Jingtao, et al.
Pubblicazione: (2025)

Multimodal Fused Learning for Solving the Generalized Traveling Salesman Problem in Robotic Task Planning
di: Cheng, Jiaqi, et al.
Pubblicazione: (2025)

MaxMin-RLHF: Alignment with Diverse Human Preferences
di: Chakraborty, Souradip, et al.
Pubblicazione: (2024)

A Mixed-Integer Conic Program for the Moving-Target Traveling Salesman Problem based on a Graph of Convex Sets
di: Philip, Allen George, et al.
Pubblicazione: (2024)

Looking Ahead to Avoid Being Late: Solving Hard-Constrained Traveling Salesman Problem
di: Chen, Jingxiao, et al.
Pubblicazione: (2024)

Adaptation and Fine-tuning with TabPFN for Travelling Salesman Problem
di: Vu, Nguyen Gia Hien, et al.
Pubblicazione: (2025)

An End-to-End Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drones
di: Zeng, Taihelong, et al.
Pubblicazione: (2025)

Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
di: Xia, Yifan, et al.
Pubblicazione: (2024)

CAMO: A Conditional Neural Solver for the Multi-objective Multiple Traveling Salesman Problem
di: Li, Fengxiaoxiao, et al.
Pubblicazione: (2026)

On Size and Hardness Generalization in Unsupervised Learning for the Travelling Salesman Problem
di: Min, Yimeng, et al.
Pubblicazione: (2024)

Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement Learning
di: Li, Qi, et al.
Pubblicazione: (2025)

Generative Modeling for Robust Deep Reinforcement Learning on the Traveling Salesman Problem
di: Li, Michael, et al.
Pubblicazione: (2025)

Distilling Privileged Information for Dubins Traveling Salesman Problems with Neighborhoods
di: Shin, Min Kyu, et al.
Pubblicazione: (2024)

Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem
di: Goh, Yong Liang, et al.
Pubblicazione: (2022)

A Unified Deep Reinforcement Learning Approach for Close Enough Traveling Salesman Problem
di: Fan, Mingfeng, et al.
Pubblicazione: (2025)

V-Max: A Reinforcement Learning Framework for Autonomous Driving
di: Charraut, Valentin, et al.
Pubblicazione: (2025)

MinMaxMin $Q$-learning
di: Soffair, Nitsan, et al.
Pubblicazione: (2024)

Learning Multiple Initial Solutions to Optimization Problems
di: Sharony, Elad, et al.
Pubblicazione: (2024)

Solving the Min-Max Multiple Traveling Salesmen Problem via Learning-Based Path Generation and Optimal Splitting
di: Wang, Wen, et al.
Pubblicazione: (2025)

Comment on paper: Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
di: Min, Yimeng
Pubblicazione: (2024)

Self-evolved Imitation Learning in Simulated World
di: Ye, Yifan, et al.
Pubblicazione: (2025)

Solving New Tasks by Adapting Internet Video Knowledge
di: Luo, Calvin, et al.
Pubblicazione: (2025)

SLIM: Skill Learning with Multiple Critics
di: Emukpere, David, et al.
Pubblicazione: (2024)

Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning
di: Cherepanov, Egor, et al.
Pubblicazione: (2025)

Learning to Segment for Vehicle Routing Problems
di: Ouyang, Wenbin, et al.
Pubblicazione: (2025)

Machine Learning and Optimization Techniques for Solving Inverse Kinematics in a 7-DOF Robotic Arm
di: Adediran, Enoch, et al.
Pubblicazione: (2024)

Optimization of Multi-Agent Flying Sidekick Traveling Salesman Problem over Road Networks
di: Yang, Ruixiao, et al.
Pubblicazione: (2024)

GUARD: A Safe Reinforcement Learning Benchmark
di: Zhao, Weiye, et al.
Pubblicazione: (2023)

MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization
di: Sukhija, Bhavya, et al.
Pubblicazione: (2024)

Smooth Min-Max Monotonic Networks
di: Igel, Christian
Pubblicazione: (2023)

Learning Humanoid Standing-up Control across Diverse Postures
di: Huang, Tao, et al.
Pubblicazione: (2025)

Parallel, Asymptotically Optimal Algorithms for Moving Target Traveling Salesman Problems
di: Bhat, Anoop, et al.
Pubblicazione: (2025)

DecompGAIL: Learning Realistic Traffic Behaviors with Decomposed Multi-Agent Generative Adversarial Imitation Learning
di: Guo, Ke, et al.
Pubblicazione: (2025)

BeamDojo: Learning Agile Humanoid Locomotion on Sparse Footholds
di: Wang, Huayi, et al.
Pubblicazione: (2025)

The Autonomy-Alignment Problem in Open-Ended Learning Robots: Formalising the Purpose Framework
di: Baldassarre, Gianluca, et al.
Pubblicazione: (2024)

iMoT: Inertial Motion Transformer for Inertial Navigation
di: Nguyen, Son Minh, et al.
Pubblicazione: (2024)

Growing Q-Networks: Solving Continuous Control Tasks with Adaptive Control Resolution
di: Seyde, Tim, et al.
Pubblicazione: (2024)