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Deep Reinforcement Learning for Multi-objective Optimization

6 June 2019

Papers citing "Deep Reinforcement Learning for Multi-objective Optimization"

39 / 39 papers shown

Title
Preference-Driven Multi-Objective Combinatorial Optimization with Conditional Computation Mingfeng Fan Jianan Zhou Yifeng Zhang Yaoxin Wu Jinbiao Chen Guillaume Sartoretti AI4CE 33 0 0 10 Jun 2025
MOON: Multi-Objective Optimization-Driven Object-Goal Navigation Using a Variable-Horizon Set-Orienteering Planner Daigo Nakajima Kanji Tanaka Daiki Iwata Kouki Terashima 86 0 0 19 May 2025
REMOR: Automated Peer Review Generation with LLM Reasoning and Multi-Objective Reinforcement Learning Pawin Taechoyotin Daniel Acuna LRM 80 0 0 16 May 2025
Persona-judge: Personalized Alignment of Large Language Models via Token-level Self-judgment Xiaotian Zhang Ruizhe Chen Yang Feng Zuozhu Liu 104 2 0 17 Apr 2025
UC-MOA: Utility-Conditioned Multi-Objective Alignment for Distributional Pareto-Optimality Zelei Cheng Xin-Qiang Cai Yuting Tang Pushi Zhang Boming Yang Masashi Sugiyama Xinyu Xing 152 0 0 10 Mar 2025
SED2AM: Solving Multi-Trip Time-Dependent Vehicle Routing Problem using Deep Reinforcement Learning Arash Mozhdehi Yansen Wang Sun Sun Xin Eric Wang AI4TS 109 0 0 06 Mar 2025
Faster, Cheaper, Better: Multi-Objective Hyperparameter Optimization for LLM and RAG Systems Matthew Barker Andrew Bell Evan Thomas James Carr Thomas Andrews Umang Bhatt 164 2 0 25 Feb 2025
Drift: Decoding-time Personalized Alignments with Implicit User Preferences Minbeom Kim Kang-il Lee Seongho Joo Hwaran Lee Thibaut Thonet Kyomin Jung AI4TS 199 1 0 20 Feb 2025
Improving Video Generation with Human Feedback Jie Liu Gongye Liu Jiajun Liang Ziyang Yuan Xiaokun Liu ... Pengfei Wan Di Zhang Kun Gai Yujiu Yang Wanli Ouyang VGen EGVM 163 26 0 23 Jan 2025
Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond Weiyu Chen Xiaoyuan Zhang Baijiong Lin Xi Lin Han Zhao Qingfu Zhang James T. Kwok 172 5 0 19 Jan 2025
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 235 2 0 12 Jan 2025
Comparison-based Active Preference Learning for Multi-dimensional Personalization Minhyeon Oh Seungjoon Lee Jungseul Ok 68 1 0 01 Nov 2024
L3Ms -- Lagrange Large Language Models Guneet S. Dhillon Xingjian Shi Yee Whye Teh Alex Smola 471 0 0 28 Oct 2024
GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-time Alignment Yuancheng Xu Udari Madhushani Sehwag Alec Koppel Sicheng Zhu Bang An Furong Huang Sumitra Ganesh 138 14 0 10 Oct 2024
Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization Deokjae Lee Hyun Oh Song Kyunghyun Cho OffRL 96 0 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 244 7 0 01 Jun 2024
UCB-driven Utility Function Search for Multi-objective Reinforcement Learning Yucheng Shi David Lynch Alexandros Agapitos 81 0 0 01 May 2024
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML M. Deutel G. Kontes Christopher Mutschler Jürgen Teich 204 0 0 23 May 2023
Coevolutionary Framework for Generalized Multimodal Multi-objective Optimization Wenhua Li X. Yao Keqin Li Rui Wang Tao Zhang Ling Wang 123 29 0 02 Dec 2022
How Good Is Neural Combinatorial Optimization? A Systematic Evaluation on the Traveling Salesman Problem Shengcai Liu Yu Zhang K. Tang Xin Yao 171 42 0 22 Sep 2022
Multimodal Multi-objective Optimization: Comparative Study of the State-of-the-Art Wenhua Li Zhang Tao Rui Wang Jing-long Liang 36 89 0 11 Jul 2022
A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization Songbai Liu Qiuzhen Lin Jianqiang Li Kay Chen Tan 94 56 0 23 Jun 2022
Hybridization of evolutionary algorithm and deep reinforcement learning for multi-objective orienteering optimization Wei Liu Rui Wang Tao Zhang Kaiwen Li Wenhua Li H. Ishibuchi 62 26 0 21 Jun 2022
Imitating Past Successes can be Very Suboptimal Benjamin Eysenbach Soumith Udatha Sergey Levine Ruslan Salakhutdinov OffRL 90 19 0 07 Jun 2022
Learning to Solve Vehicle Routing Problems: A Survey Aigerim Bogyrbayeva Meraryslan Meraliyev Taukekhan Mustakhov Bissenbay Dauletbayev 80 25 0 05 May 2022
Deep Reinforcement Learning for Orienteering Problems Based on Decomposition Wei Liu Tao Zhang Rui Wang Kaiwen Li Wenhua Li Kang Yang 55 4 0 25 Apr 2022
Pareto Set Learning for Neural Multi-objective Combinatorial Optimization Xi Lin Zhiyuan Yang Qingfu Zhang 84 70 0 29 Mar 2022
Pareto Frontier Approximation Network (PA-Net) to Solve Bi-objective TSP Ishaan Mehta Sharareh Taghipour Sajad Saeedi 61 4 0 02 Mar 2022
Far-UVC Disinfection with Robotic Mobile Manipulator Ishaan Mehta Hao-Ya Hsueh Nikolaos Kourtzanidis Mateusz Brylka Sajad Saeedi 45 7 0 02 Mar 2022
Joint Cluster Head Selection and Trajectory Planning in UAV-Aided IoT Networks by Reinforcement Learning with Sequential Model Botao Zhu E. Bedeer Han Nguyen Robert Barton Jérôme Henry 107 29 0 01 Dec 2021
Training Generative Adversarial Networks with Adaptive Composite Gradient Huiqing Qi Fang Li Shengli Tan Xiangyun Zhang GAN 46 4 0 10 Nov 2021
MODRL/D-EL: Multiobjective Deep Reinforcement Learning with Evolutionary Learning for Multiobjective Optimization Yongxin Zhang Jiahai Wang Zizhen Zhang Yalan Zhou 128 24 0 16 Jul 2021
Multi-Objective Graph Heuristic Search for Terrestrial Robot Design Jie Xu Andrew Spielberg Allan Zhao Daniela Rus Wojciech Matusik 103 39 0 13 Jul 2021
Integrated Decision and Control: Towards Interpretable and Computationally Efficient Driving Intelligence Yang Guan Yangang Ren Qi Sun Shengbo Eben Li Haitong Ma Jingliang Duan Yifan Dai B. Cheng 70 70 0 18 Mar 2021
A Practical Guide to Multi-Objective Reinforcement Learning and Planning Conor F. Hayes Roxana Ruadulescu Eugenio Bargiacchi Johan Källström Matthew Macfarlane ... Ann Nowé Gabriel de Oliveira Ramos Marcello Restelli Peter Vamplew D. Roijers OffRL 91 341 0 17 Mar 2021
A Two-stage Framework and Reinforcement Learning-based Optimization Algorithms for Complex Scheduling Problems Yongming He Guohua Wu Yingwu Chen Witold Pedrycz 20 8 0 10 Mar 2021
Deep Reinforcement Learning for Combinatorial Optimization: Covering Salesman Problems Kaiwen Li Tao Zhang Yuheng Wang Yi Han BDL 94 67 0 11 Feb 2021
Policy Gradient from Demonstration and Curiosity Jie Chen Wenjun Xu 113 12 0 22 Apr 2020
MODRL/D-AM: Multiobjective Deep Reinforcement Learning Algorithm Using Decomposition and Attention Model for Multiobjective Optimization Hong Wu Jiahai Wang Zizhen Zhang 49 23 0 13 Feb 2020