POMO: Policy Optimization with Multiple Optima for Reinforcement Learning

30 October 2020

Papers citing "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"

49 / 49 papers shown

Title
Preference Optimization for Combinatorial Optimization Problems Mingjun Pan Guanquan Lin You-Wei Luo Bin Zhu Zhien Dai Lijun Sun Chun Yuan 23 0 0 13 May 2025
USPR: Learning a Unified Solver for Profiled Routing Chuanbo Hua Federico Berto Zhikai Zhao Jiwoo Son Changhyun Kwon Jinkyoo Park 44 0 0 08 May 2025
UniCO: Towards a Unified Model for Combinatorial Optimization Problems Zefang Zong Xiaochen Wei Guozhen Zhang Chen Gao Huandong Wang Yong Li 34 0 0 07 May 2025
Graph Reduction with Unsupervised Learning in Column Generation: A Routing Application Abdo Abouelrous Laurens Bliea A. Gabor Yaoxin Wu Yingqian Zhang 31 0 0 11 Apr 2025
TuneNSearch: a hybrid transfer learning and local search approach for solving vehicle routing problems Arthur Corrêa Cristóvão Silva Liming Xu Alexandra Brintrup Samuel Moniz 55 0 0 16 Mar 2025
Learning to Reduce Search Space for Generalizable Neural Routing Solver Changliang Zhou Xi Lin Zhenkun Wang Qingfu Zhang 99 0 0 05 Mar 2025
Boosting Generalization in Diffusion-Based Neural Combinatorial Solver via Energy-guided Sampling Haoyu Lei Kaiwen Zhou Y. Li Zhitang Chen Farzan Farnia DiffM 70 1 0 15 Feb 2025
Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization Yang Li Jinpei Guo Runzhong Wang H. Zha Junchi Yan 63 4 0 05 Feb 2025
Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks Lars C.P.M. Quaedvlieg 63 0 0 31 Jan 2025
SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups Yongxing Zhang Donglin Yang Renjie Liao DiffM 152 0 0 03 Oct 2024
RouteFinder: Towards Foundation Models for Vehicle Routing Problems Federico Berto Chuanbo Hua Nayeli Gast Zepeda André Hottung N. Wouda Leon Lan Kevin Tierney J. Park Jinkyoo Park 56 10 0 21 Jun 2024
GOAL: A Generalist Combinatorial Optimization Agent Learner Darko Drakulic Sofia Michel J. Andreoli 39 6 0 21 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
Instance-Conditioned Adaptation for Large-scale Generalization of Neural Routing Solver Changliang Zhou Xi Lin Zhenkun Wang Xialiang Tong Mingxuan Yuan Qingfu Zhang 51 6 0 03 May 2024
Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning Zeyuan Ma Jiacheng Chen Hongshu Guo Yining Ma Yue-jiao Gong 46 7 0 12 Apr 2024
Ant Colony Sampling with GFlowNets for Combinatorial Optimization Minsu Kim Sanghyeok Choi Hyeon-Seob Kim Jiwoo Son Jinkyoo Park Yoshua Bengio 43 23 0 11 Mar 2024
Towards Principled Task Grouping for Multi-Task Learning Chenguang Wang Xuanhao Pan Tianshu Yu 31 0 0 23 Feb 2024
GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time Haoran Ye Jiarui Wang Helan Liang Zhiguang Cao Yong Li Fanzhang Li 34 32 0 13 Dec 2023
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions Maziyar Khadivi Todd Charter Marjan Yaghoubi Masoud Jalayer Maryam Ahang Ardeshir Shojaeinasab H. Najjaran 35 11 0 04 Oct 2023
Learning the Efficient Frontier Philippe Chatigny Ivan Sergienko Ryan Ferguson Jordan Weir Maxime Bergeron 19 1 0 27 Sep 2023
LLQL: Logistic Likelihood Q-Learning for Reinforcement Learning Outongyi Lv Bingxin Zhou OffRL 44 0 0 05 Jul 2023
Policy-Based Self-Competition for Planning Problems Jonathan Pirnay Q. Göttl Jakob Burger D. G. Grimm 34 3 0 07 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
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization Hyeon-Seob Kim Minsu Kim Sungsoo Ahn Jinkyoo Park OffRL 39 7 0 02 Jun 2023
Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets Dinghuai Zhang H. Dai Nikolay Malkin Aaron Courville Yoshua Bengio L. Pan 24 36 0 26 May 2023
Multi-Start Team Orienteering Problem for UAS Mission Re-Planning with Data-Efficient Deep Reinforcement Learning Dong Ho Lee Jaemyung Ahn 22 6 0 02 Mar 2023
ASP: Learn a Universal Neural Solver! Chenguang Wang Zhouliang Yu Stephen Marcus McAleer Tianshu Yu Yao-Chun Yang AAML 32 24 0 01 Mar 2023
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization Zhiqing Sun Yiming Yang DiffM 33 118 0 16 Feb 2023
Neural Capacitated Clustering Jonas K. Falkner Lars Schmidt-Thieme 29 1 0 10 Feb 2023
Combining Constructive and Perturbative Deep Learning Algorithms for the Capacitated Vehicle Routing Problem Roberto García-Torres Alitzel Adriana Macias-Infante S. E. Conant-Pablos J. C. Ortíz-Bayliss Hugo Terashima-Marín 18 1 0 25 Nov 2022
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling Cong Zhang Zhiguang Cao Wen Song Puay Siew Tan Jie Zhang 17 15 0 20 Nov 2022
Learning Adaptive Evolutionary Computation for Solving Multi-Objective Optimization Problems Remco Coppens Robbert Reijnen Yingqian Zhang Laurens Bliek Berend Steenhuisen 37 0 0 01 Nov 2022
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems Ruizhong Qiu Zhiqing Sun Yiming Yang 43 78 0 08 Oct 2022
How Good Is Neural Combinatorial Optimization? A Systematic Evaluation on the Traveling Salesman Problem Shengcai Liu Yu Zhang K. Tang Xin Yao 65 39 0 22 Sep 2022
Learning to Solve Soft-Constrained Vehicle Routing Problems with Lagrangian Relaxation Qiaoyue Tang Yangzhe Kong Lemeng Pan Choon-woo Lee 30 3 0 20 Jul 2022
Simulation-guided Beam Search for Neural Combinatorial Optimization Jinho Choo Yeong-Dae Kwon Jihoon Kim Jeongwoo Jae André Hottung Kevin Tierney Youngjune Gwon 30 63 0 13 Jul 2022
Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation Haoyu Wang Nan Wu Hang Yang Cong Hao Pan Li 34 29 0 13 Jul 2022
Neuro CROSS exchange: Learning to CROSS exchange to solve realistic vehicle routing problems Minjun Kim Junyoung Park Jinkyoo Park 29 2 0 06 Jun 2022
Learning to Solve Vehicle Routing Problems: A Survey Aigerim Bogyrbayeva Meraryslan Meraliyev Taukekhan Mustakhov Bissenbay Dauletbayev 29 24 0 05 May 2022
Large Neighborhood Search based on Neural Construction Heuristics Jonas K. Falkner Daniela Thyssens Lars Schmidt-Thieme AI4TS 17 3 0 02 May 2022
Learning to Solve Travelling Salesman Problem with Hardness-adaptive Curriculum Zeyang Zhang Ziwei Zhang Xin Wang Wenwu Zhu 26 42 0 07 Apr 2022
Graph Neural Network Guided Local Search for the Traveling Salesperson Problem Benjamin H. Hudson Qingbiao Li Matthew Malencia Amanda Prorok 27 63 0 11 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
Learning Enhanced Optimisation for Routing Problems N. Sultana Jeffrey Chan Tabinda Sarwar B. Abbasi •. A. K. Qin 24 3 0 17 Sep 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
Learning to Delegate for Large-scale Vehicle Routing Sirui Li Zhongxia Yan Cathy Wu 19 107 0 08 Jul 2021
Matrix Encoding Networks for Neural Combinatorial Optimization Yeong-Dae Kwon Jinho Choo Iljoo Yoon Minah Park Duwon Park Youngjune Gwon 25 87 0 21 Jun 2021
Efficient Active Search for Combinatorial Optimization Problems André Hottung Yeong-Dae Kwon Kevin Tierney 22 83 0 09 Jun 2021
Deep Policy Dynamic Programming for Vehicle Routing Problems W. Kool H. V. Hoof J. Gromicho Max Welling 42 115 0 23 Feb 2021