Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning

6 October 2021

Papers citing "Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning"

26 / 26 papers shown

Title
SED2AM: Solving Multi-Trip Time-Dependent Vehicle Routing Problem using Deep Reinforcement Learning Arash Mozhdehi Yansen Wang Sun Sun Xin Wang AI4TS 68 0 0 06 Mar 2025
Adversarial Generative Flow Network for Solving Vehicle Routing Problems Ni Zhang Jingfeng Yang Zhiguang Cao Xu Chi 68 1 0 03 Mar 2025
Rethinking Light Decoder-based Solvers for Vehicle Routing Problems Ziwei Huang Jianan Zhou Zhiguang Cao Yixin Xu 39 1 0 02 Mar 2025
A Coalition Game for On-demand Multi-modal 3D Automated Delivery System Farzan Moosavi Bilal Farooq 33 0 0 23 Dec 2024
Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization Federico Berto Chuanbo Hua Laurin Luttmann Jiwoo Son Junyoung Park Kyuree Ahn Changhyun Kwon Lin Xie Jinkyoo Park 41 1 0 05 Sep 2024
Edge-DIRECT: A Deep Reinforcement Learning-based Method for Solving Heterogeneous Electric Vehicle Routing Problem with Time Window Constraints Arash Mozhdehi Mahdi Mohammadizadeh Xin Wang 32 0 0 28 Jun 2024
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives Xuan Wu Di Wang Lijie Wen Yubin Xiao Chunguo Wu Yuesong Wu Chaoyu Yu D. Maskell You Zhou 70 6 0 01 Jun 2024
Prioritized League Reinforcement Learning for Large-Scale Heterogeneous Multiagent Systems Qing Fu Zhiqiang Pu Min Chen Tenghai Qiu Jianqiang Yi 40 0 0 26 Mar 2024
Enhancing Courier Scheduling in Crowdsourced Last-Mile Delivery through Dynamic Shift Extensions: A Deep Reinforcement Learning Approach Zead Saleh A. A. Hanbali Ahmad Baubaid 25 0 0 15 Feb 2024
Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt Yining Ma Zhiguang Cao Yeow Meng Chee 29 37 0 27 Oct 2023
Too Big, so Fail? -- Enabling Neural Construction Methods to Solve Large-Scale Routing Problems Hao Li Lars Schmidt-Thieme 46 2 0 29 Sep 2023
RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark Federico Berto Chuanbo Hua Junyoung Park Laurin Luttmann Yining Ma ... Guojie Song Changhyun Kwon Kevin Tierney Lin Xie Jinkyoo Park OffRL 32 27 0 29 Jun 2023
Equity-Transformer: Solving NP-hard Min-Max Routing Problems as Sequential Generation with Equity Context Jiwoo Son Minsu Kim Sanghyeok Choi Hyeon-Seob Kim Jinkyoo Park 19 9 0 05 Jun 2023
Neural Airport Ground Handling Yaoxin Wu Jianan Zhou Yunwen Xia Xianli Zhang Zhiguang Cao Jie Zhang AI4TS 48 10 0 04 Mar 2023
A deep learning Attention model to solve the Vehicle Routing Problem and the Pick-up and Delivery Problem with Time Windows Baptiste Rabecq R. Chevrier AI4TS 8 2 0 20 Dec 2022
Where to go: Agent Guidance with Deep Reinforcement Learning in A City-Scale Online Ride-Hailing Service Jiyao Li V. Allan 14 2 0 12 Dec 2022
Learning to Solve Multiple-TSP with Time Window and Rejections via Deep Reinforcement Learning Rongkai Zhang Cong Zhang Zhiguang Cao Wen Song Puay Siew Tan Jie Zhang B. Wen Justin Dauwels 21 28 0 13 Sep 2022
Solving the Traveling Salesperson Problem with Precedence Constraints by Deep Reinforcement Learning Christian Löwens Inaam Ashraf Alexander Gembus Genesis Cuizon Jonas K. Falkner Lars Schmidt-Thieme 29 2 0 04 Jul 2022
Learning to Solve Vehicle Routing Problems: A Survey Aigerim Bogyrbayeva Meraryslan Meraliyev Taukekhan Mustakhov Bissenbay Dauletbayev 29 24 0 05 May 2022
Efficient Neural Neighborhood Search for Pickup and Delivery Problems Yining Ma Jingwen Li Zhiguang Cao Wen Song Hongliang Guo Yuejiao Gong Yeow Meng Chee 16 39 0 25 Apr 2022
Learning Large Neighborhood Search Policy for Integer Programming Yaoxin Wu Wen Song Zhiguang Cao Jie Zhang 27 41 0 01 Nov 2021
NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem Liang Xin Wen Song Zhiguang Cao Jie Zhang 8 107 0 15 Oct 2021
Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem Jingwen Li Yining Ma Ruize Gao Zhiguang Cao Andrew Lim Wen Song Jie Zhang 129 115 0 06 Oct 2021
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer Yining Ma Jingwen Li Zhiguang Cao Wen Song Le Zhang Zhenghua Chen Jing Tang 83 129 0 06 Oct 2021
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey Zefang Zong Tao Feng Tong Xia Depeng Jin Yong Li 22 3 0 10 Aug 2021
An Overview and Experimental Study of Learning-based Optimization Algorithms for Vehicle Routing Problem Bingjie Li Guohua Wu Yongming He Mingfeng Fan Witold Pedrycz 64 67 0 15 Jul 2021