Multi-Objective Deep Reinforcement Learning

9 October 2016

Papers citing "Multi-Objective Deep Reinforcement Learning"

21 / 21 papers shown

Title
Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management Zhaoan Wang Wonseok Jang Bowen Ruan Jun Wang Shaoping Xiao OffRL 12 0 0 16 May 2025
How to Find the Exact Pareto Front for Multi-Objective MDPs? Yining Li Peizhong Ju Ness B. Shroff 134 0 0 21 Oct 2024
Multi-objective Reinforcement learning from AI Feedback Marcus Williams 38 1 0 11 Jun 2024
Multi-Objective Reinforcement Learning-based Approach for Pressurized Water Reactor Optimization Paul Seurin K. Shirvan 24 9 0 15 Dec 2023
Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning T. Kanazawa Chetan Gupta 24 0 0 15 Mar 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 19 44 0 03 Feb 2023
Policy Optimization with Advantage Regularization for Long-Term Fairness in Decision Systems Eric Yang Yu Zhizhen Qin Min Kyung Lee Sicun Gao OffRL 37 15 0 22 Oct 2022
Regularized Soft Actor-Critic for Behavior Transfer Learning Mingxi Tan Andong Tian Ludovic Denoyer 20 3 0 27 Sep 2022
Socially Fair Reinforcement Learning Debmalya Mandal Jiarui Gan OffRL 20 13 0 26 Aug 2022
Multi-objective Optimization of Notifications Using Offline Reinforcement Learning Prakruthi Prabhakar Yiping Yuan Guangyu Yang Wensheng Sun A. Muralidharan OffRL 25 6 0 07 Jul 2022
Constrained Reinforcement Learning for Short Video Recommendation Qingpeng Cai Ruohan Zhan Chi Zhang Jie Zheng Guangwei Ding Pinghua Gong Dong Zheng Peng Jiang 20 6 0 26 May 2022
PrefixRL: Optimization of Parallel Prefix Circuits using Deep Reinforcement Learning Rajarshi Roy Jonathan Raiman Neel Kant Ilyas Elkin Robert M. Kirby Michael Siu S. Oberman Saad Godil Bryan Catanzaro 35 38 0 14 May 2022
Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning Dusan Stamenkovic Alexandros Karatzoglou Ioannis Arapakis Xin Xin Kleomenis Katevas 13 46 0 28 Oct 2021
Levels of explainable artificial intelligence for human-aligned conversational explanations Richard Dazeley Peter Vamplew Cameron Foale Charlotte Young Sunil Aryal F. Cruz 30 89 0 07 Jul 2021
Deep Learning and Knowledge-Based Methods for Computer Aided Molecular Design -- Toward a Unified Approach: State-of-the-Art and Future Directions Abdulelah S. Alshehri R. Gani Fengqi You AI4CE 30 83 0 18 May 2020
A Distributional View on Multi-Objective Policy Optimization A. Abdolmaleki Sandy H. Huang Leonard Hasenclever Michael Neunert H. F. Song Martina Zambelli M. Martins N. Heess R. Hadsell Martin Riedmiller 21 74 0 15 May 2020
Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription Olivier Francon Santiago Gonzalez B. Hodjat Elliot Meyerson Risto Miikkulainen Xin Qiu H. Shahrzad 18 16 0 13 Feb 2020
Integration of Imitation Learning using GAIL and Reinforcement Learning using Task-achievement Rewards via Probabilistic Graphical Model Akira Kinose T. Taniguchi 30 20 0 03 Jul 2019
Value constrained model-free continuous control Steven Bohez A. Abdolmaleki Michael Neunert J. Buchli N. Heess R. Hadsell 16 62 0 12 Feb 2019
Optimization of Molecules via Deep Reinforcement Learning Zhenpeng Zhou S. Kearnes Li Li R. Zare Patrick F. Riley AI4CE 16 532 0 19 Oct 2018
Ordered Preference Elicitation Strategies for Supporting Multi-Objective Decision Making L. Zintgraf D. Roijers Sjoerd Linders Catholijn M. Jonker A. Nowé 14 49 0 21 Feb 2018