Multi-Objective Deep Reinforcement Learning

9 October 2016

Papers citing "Multi-Objective Deep Reinforcement Learning"

30 / 30 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 27 0 0 16 May 2025
How to Find the Exact Pareto Front for Multi-Objective MDPs? Yining Li Peizhong Ju Ness B. Shroff 223 0 0 21 Oct 2024
Multi-objective Reinforcement learning from AI Feedback Marcus Williams 48 1 0 11 Jun 2024
UCB-driven Utility Function Search for Multi-objective Reinforcement Learning Yucheng Shi Alexandros Agapitos David Lynch Giorgio Cruciata Cengis Hasan Hao Wang Yayu Yao Aleksandar Milenovic 44 0 0 01 May 2024
Multi-Objective Reinforcement Learning-based Approach for Pressurized Water Reactor Optimization Paul Seurin K. Shirvan 24 10 0 15 Dec 2023
Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences Minyoung Hwang Luca Weihs Chanwoo Park Kimin Lee Aniruddha Kembhavi Kiana Ehsani 37 18 0 14 Dec 2023
Multicopy Reinforcement Learning Agents Alicia P. Wolfe Oliver Diamond Brigitte Goeler-Slough Remi Feuerman Magdalena Kisielinska Victoria Manfredi 21 0 0 19 Sep 2023
Unsupervised Discovery of Continuous Skills on a Sphere Takahisa Imagawa Takuya Hiraoka Yoshimasa Tsuruoka 35 0 0 21 May 2023
Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning T. Kanazawa Chetan Gupta 29 0 0 15 Mar 2023
A Scale-Independent Multi-Objective Reinforcement Learning with Convergence Analysis Mohsen Amidzadeh 27 0 0 08 Feb 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
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 27 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 28 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 33 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 40 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 32 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 90 0 07 Jul 2021
Learning Controllable Content Generators Sam Earle Maria Edwards Ahmed Khalifa Philip Bontrager Julian Togelius 27 45 0 06 May 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 35 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 26 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 26 16 0 13 Feb 2020
A utility-based analysis of equilibria in multi-objective normal form games Roxana Rădulescu Patrick Mannion Yijie Zhang D. Roijers A. Nowé 8 27 0 17 Jan 2020
Integration of Imitation Learning using GAIL and Reinforcement Learning using Task-achievement Rewards via Probabilistic Graphical Model Akira Kinose T. Taniguchi 35 20 0 03 Jul 2019
Value constrained model-free continuous control Steven Bohez A. Abdolmaleki Michael Neunert J. Buchli N. Heess R. Hadsell 24 62 0 12 Feb 2019
Learning to Learn in Simulation Ervin Teng Bob Iannucci 19 1 0 05 Feb 2019
Optimization of Molecules via Deep Reinforcement Learning Zhenpeng Zhou S. Kearnes Li Li R. Zare Patrick F. Riley AI4CE 29 533 0 19 Oct 2018
A Multi-Objective Deep Reinforcement Learning Framework Thanh Thi Nguyen Ngoc Duy Nguyen Peter Vamplew Saeid Nahavandi Richard Dazeley Chee Peng Lim OffRL 15 108 0 08 Mar 2018
Ordered Preference Elicitation Strategies for Supporting Multi-Objective Decision Making L. Zintgraf D. Roijers Sjoerd Linders Catholijn M. Jonker A. Nowé 16 49 0 21 Feb 2018