A Multi-Objective Deep Reinforcement Learning Framework

8 March 2018

Thanh Thi Nguyen

Papers citing "A Multi-Objective Deep Reinforcement Learning Framework"

33 / 33 papers shown

Title
Benchmarking MOEAs for solving continuous multi-objective RL problems Carlos Hernández Roberto Santana 12 0 0 19 May 2025
Closing the Intent-to-Behavior Gap via Fulfillment Priority Logic B. Mabsout Abdelrahman AbdelGawad R. Mancuso 51 1 0 04 Mar 2025
Scalable Multi-Objective Reinforcement Learning with Fairness Guarantees using Lorenz Dominance Dimitris Michailidis Willem Röpke D. Roijers Sennay Ghebreab Fernando P. Santos 85 0 0 27 Nov 2024
MODRL-TA:A Multi-Objective Deep Reinforcement Learning Framework for Traffic Allocation in E-Commerce Search Peng Cheng Huimu Wang Jinyuan Zhao Yihao Wang Enqiang Xu ... Zhuojian Xiao Songlin Wang Guoyu Tang Lin Liu Sulong Xu 24 0 0 22 Jul 2024
Loops On Retrieval Augmented Generation (LoRAG) Ayush Thakur Rashmi Vashisth 27 1 0 18 Mar 2024
Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning Finn Rietz Erik Schaffernicht Stefan Heinrich J. A. Stork 32 1 0 03 Oct 2023
Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards Alexandre Ramé Guillaume Couairon Mustafa Shukor Corentin Dancette Jean-Baptiste Gaya Laure Soulier Matthieu Cord MoMe 35 136 0 07 Jun 2023
Two-Stage Constrained Actor-Critic for Short Video Recommendation Qingpeng Cai Zhenghai Xue Chi Zhang Wanqi Xue Shuchang Liu ... Tianyou Zuo Wentao Xie Dong Zheng Peng Jiang Kun Gai OffRL CML 27 44 0 03 Feb 2023
Reinforcement Learning Agent Design and Optimization with Bandwidth Allocation Model R. Reale Joberto S. B. Martins OffRL 14 0 0 23 Nov 2022
Deep W-Networks: Solving Multi-Objective Optimisation Problems With Deep Reinforcement Learning Jernej Hribar Luke Hackett Ivana Dusparic OffRL 21 1 0 09 Nov 2022
GraMeR: Graph Meta Reinforcement Learning for Multi-Objective Influence Maximization Sai Munikoti Balasubramaniam Natarajan M. Halappanavar 17 4 0 30 May 2022
Constrained Reinforcement Learning for Short Video Recommendation Qingpeng Cai Ruohan Zhan Chi Zhang Jie Zheng Guangwei Ding Pinghua Gong Dong Zheng Peng Jiang 33 6 0 26 May 2022
Flexible Multiple-Objective Reinforcement Learning for Chip Placement Fu-Chieh Chang Yu-Wei Tseng Ya-Wen Yu Ssu-Rui Lee Alexandru Cioba ... Chien-Yi Yang Ren-Chu Wang Yao-Wen Chang Tai-Chen Chen Tung-Chieh Chen OffRL 33 5 0 13 Apr 2022
gTLO: A Generalized and Non-linear Multi-Objective Deep Reinforcement Learning Approach Johannes Dornheim OffRL AI4CE 23 3 0 11 Apr 2022
Multi-Objective reward generalization: Improving performance of Deep Reinforcement Learning for applications in single-asset trading F. Cornalba C. Disselkamp Davide Scassola Christopher Helf 28 5 0 09 Mar 2022
A Review of the Deep Sea Treasure problem as a Multi-Objective Reinforcement Learning Benchmark Thomas Cassimon Reinout Eyckerman Siegfried Mercelis Steven Latré P. Hellinckx 12 0 0 13 Oct 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Tianpei Yang Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 41 94 0 14 Sep 2021
Levels of explainable artificial intelligence for human-aligned conversational explanations Richard Dazeley Peter Vamplew Cameron Foale Charlotte Young Sunil Aryal F. Cruz 32 90 0 07 Jul 2021
Joint Optimization of Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm Qinbo Bai Mridul Agarwal Vaneet Aggarwal 21 7 0 28 May 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 33 328 0 17 Mar 2021
Solving the scalarization issues of Advantage-based Reinforcement Learning Algorithms Federico A. Galatolo M. G. Cimino G. Vaglini 16 3 0 08 Apr 2020
Review, Analysis and Design of a Comprehensive Deep Reinforcement Learning Framework Ngoc Duy Nguyen Thanh Thi Nguyen Hai V. Nguyen Doug Creighton S. Nahavandi 46 3 0 27 Feb 2020
Relationship Explainable Multi-objective Optimization Via Vector Value Function Based Reinforcement Learning Huixin Zhan Yongcan Cao 27 7 0 02 Oct 2019
Relationship Explainable Multi-objective Reinforcement Learning with Semantic Explainability Generation Huixin Zhan Yongcan Cao 21 2 0 26 Sep 2019
Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey Roxana Rădulescu Patrick Mannion D. Roijers A. Nowé 25 137 0 06 Sep 2019
Reinforcement Learning for Joint Optimization of Multiple Rewards Mridul Agarwal Vaneet Aggarwal 6 16 0 06 Sep 2019
Deep Reinforcement Learning for Cyber Security Thanh Thi Nguyen Vijay Janapa Reddi OffRL AI4CE 10 314 0 13 Jun 2019
Manipulating Soft Tissues by Deep Reinforcement Learning for Autonomous Robotic Surgery Ngoc Duy Nguyen Thanh Nguyen S. Nahavandi Asim Bhatti Glenn Guest 21 41 0 14 Feb 2019
A New Tensioning Method using Deep Reinforcement Learning for Surgical Pattern Cutting Thanh Thi Nguyen Ngoc Duy Nguyen Fernando Bello S. Nahavandi 25 38 0 10 Jan 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications Thanh Thi Nguyen Ngoc Duy Nguyen S. Nahavandi 27 775 0 31 Dec 2018
Multi-Agent Deep Reinforcement Learning with Human Strategies Thanh Nguyen Ngoc Duy Nguyen S. Nahavandi 29 12 0 12 Jun 2018
A Human Mixed Strategy Approach to Deep Reinforcement Learning Ngoc Duy Nguyen S. Nahavandi Thanh Nguyen 30 12 0 05 Apr 2018
Particle Swarm Optimization for Generating Interpretable Fuzzy Reinforcement Learning Policies D. Hein A. Hentschel Thomas Runkler Steffen Udluft OffRL 33 79 0 19 Oct 2016