MODRL/D-EL: Multiobjective Deep Reinforcement Learning with Evolutionary
Learning for Multiobjective Optimization

MODRL/D-EL: Multiobjective Deep Reinforcement Learning with Evolutionary Learning for Multiobjective Optimization

16 July 2021

Papers citing "MODRL/D-EL: Multiobjective Deep Reinforcement Learning with Evolutionary Learning for Multiobjective Optimization"

17 / 17 papers shown

Title
Pareto Set Learning for Multi-Objective Reinforcement Learning Erlong Liu Yu-Chang Wu Xiaobin Huang Chengrui Gao Ren-Jian Wang Ke Xue Chao Qian OffRL 173 2 0 12 Jan 2025
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 161 6 0 01 Jun 2024
Learning to Solve Vehicle Routing Problems with Time Windows through Joint Attention Jonas K. Falkner Lars Schmidt-Thieme 39 38 0 16 Jun 2020
Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking N. Vesselinova Rebecca Steinert Daniel F. Perez-Ramirez Magnus Boman GNN AI4CE 53 143 0 22 May 2020
Reinforcement Learning for Combinatorial Optimization: A Survey Nina Mazyavkina S. Sviridov Sergei Ivanov Evgeny Burnaev 78 611 0 07 Mar 2020
MODRL/D-AM: Multiobjective Deep Reinforcement Learning Algorithm Using Decomposition and Attention Model for Multiobjective Optimization Hong Wu Jiahai Wang Zizhen Zhang 24 22 0 13 Feb 2020
Proximal Distilled Evolutionary Reinforcement Learning Cristian Bodnar Ben Day Pietro Lio 48 72 0 24 Jun 2019
Deep Reinforcement Learning for Multi-objective Optimization Kaiwen Li Tao Zhang Rui Wang AI4CE 36 268 0 06 Jun 2019
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon Yoshua Bengio Andrea Lodi Antoine Prouvost 146 1,367 0 15 Nov 2018
Attention, Learn to Solve Routing Problems! W. Kool H. V. Hoof Max Welling 91 1,193 0 22 Mar 2018
Reinforcement Learning for Solving the Vehicle Routing Problem M. Nazari Afshin Oroojlooy L. Snyder Martin Takáč 71 894 0 12 Feb 2018
Safe Mutations for Deep and Recurrent Neural Networks through Output Gradients Joel Lehman Jay Chen Jeff Clune Kenneth O. Stanley 46 93 0 18 Dec 2017
Learning Combinatorial Optimization Algorithms over Graphs H. Dai Elias Boutros Khalil Yuyu Zhang B. Dilkina Le Song 101 1,453 0 05 Apr 2017
Neural Combinatorial Optimization with Reinforcement Learning Irwan Bello Hieu H. Pham Quoc V. Le Mohammad Norouzi Samy Bengio 132 1,472 0 29 Nov 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.6K 192,638 0 10 Dec 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 386 43,154 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.2K 149,474 0 22 Dec 2014