A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation

21 August 2019

Papers citing "A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation"

50 / 52 papers shown

Title
DSADF: Thinking Fast and Slow for Decision Making Alex Zhihao Dou Dongfei Cui Jun Yan Wei Wang Benteng Chen Haoming Wang Zeke Xie Shufei Zhang OffRL 43 1 0 13 May 2025
Constructing an Optimal Behavior Basis for the Option Keyboard L. N. Alegre A. Bazzan André Barreto Bruno C. da Silva 26 0 0 01 May 2025
SNPL: Simultaneous Policy Learning and Evaluation for Safe Multi-Objective Policy Improvement Brian Cho Ana-Roxana Pop Ariel Evince Nathan Kallus OffRL 46 0 0 17 Mar 2025
On Generalization Across Environments In Multi-Objective Reinforcement Learning Jayden Teoh Pradeep Varakantham Peter Vamplew OffRL 34 1 0 02 Mar 2025
Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewards Shresth Verma Niclas Boehmer Lingkai Kong Milind Tambe 77 2 0 17 Jan 2025
LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts Helia Hashemi J. Eisner Corby Rosset Benjamin Van Durme Chris Kedzie 68 2 0 03 Jan 2025
How to Find the Exact Pareto Front for Multi-Objective MDPs? Yining Li Peizhong Ju Ness B. Shroff 205 0 0 21 Oct 2024
C-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto Front Ruohong Liu Yuxin Pan Linjie Xu Lei Song Jiang Bian Pengcheng You Yize Chen 45 1 0 03 Oct 2024
Any-Property-Conditional Molecule Generation with Self-Criticism using Spanning Trees Alexia Jolicoeur-Martineau A. Baratin Kisoo Kwon Boris Knyazev Yan Zhang 45 1 0 12 Jul 2024
OCCAM: Online Continuous Controller Adaptation with Meta-Learned Models Hersh Sanghvi Spencer Folk Camillo J Taylor 47 3 0 25 Jun 2024
Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization Deokjae Lee Hyun Oh Song Kyunghyun Cho OffRL 51 0 0 21 Jun 2024
Preparing for Black Swans: The Antifragility Imperative for Machine Learning Ming Jin 40 2 0 18 May 2024
Generalized Multi-Objective Reinforcement Learning with Envelope Updates in URLLC-enabled Vehicular Networks Zijiang Yan Hina Tabassum 32 2 0 18 May 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 26 0 0 01 May 2024
MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization Yasaman Jafari Dheeraj Mekala Rose Yu Taylor Berg-Kirkpatrick 53 7 0 18 Feb 2024
A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization Feiyang Ye Baijiong Lin Xiao-Qun Cao Yu Zhang Ivor Tsang 50 6 0 17 Jan 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 35 18 0 14 Dec 2023
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions Maziyar Khadivi Todd Charter Marjan Yaghoubi Masoud Jalayer Maryam Ahang Ardeshir Shojaeinasab H. Najjaran 35 11 0 04 Oct 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 22 0 0 08 Feb 2023
Welfare and Fairness in Multi-objective Reinforcement Learning Zimeng Fan Nianli Peng Muhang Tian Brandon Fain 22 14 0 30 Nov 2022
Monte Carlo Tree Search Algorithms for Risk-Aware and Multi-Objective Reinforcement Learning Conor F. Hayes Mathieu Reymond D. Roijers Enda Howley Patrick Mannion 24 4 0 23 Nov 2022
Redeeming Intrinsic Rewards via Constrained Optimization Eric Chen Zhang-Wei Hong Joni Pajarinen Pulkit Agrawal OnRL 36 24 0 14 Nov 2022
Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement Jiachen Yang K. Mittal T. Dzanic S. Petrides B. Keith Brenden K. Petersen Daniel Faissol R. Anderson 31 8 0 02 Nov 2022
Many-Objective Reinforcement Learning for Online Testing of DNN-Enabled Systems Fitash Ul Haq Donghwan Shin Lionel C. Briand OffRL 49 40 0 27 Oct 2022
Pareto Set Learning for Expensive Multi-Objective Optimization Xi Lin Zhiyuan Yang Xiao-Yan Zhang Qingfu Zhang 39 54 0 16 Oct 2022
Regularized Soft Actor-Critic for Behavior Transfer Learning Mingxi Tan Andong Tian Ludovic Denoyer 20 3 0 27 Sep 2022
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games Hui Bai R. Shen Yue Lin Bo Xu Ran Cheng VLM 34 5 0 21 Sep 2022
Socially Fair Reinforcement Learning Debmalya Mandal Jiarui Gan OffRL 25 13 0 26 Aug 2022
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning Ruida Zhou Tao-Wen Liu D. Kalathil P. R. Kumar Chao Tian 34 13 0 10 Jun 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
AutoCoMet: Smart Neural Architecture Search via Co-Regulated Shaping Reinforcement M. Das Brijraj Singh Harsh Chheda Pawan Sharma NS Pradeep 41 0 0 29 Mar 2022
Design of Detectors at the Electron Ion Collider with Artificial Intelligence C. Fanelli 18 7 0 09 Mar 2022
Min-Max Bilevel Multi-objective Optimization with Applications in Machine Learning Alex Gu Songtao Lu Parikshit Ram Tsui-Wei Weng 40 10 0 03 Mar 2022
Pareto Frontier Approximation Network (PA-Net) to Solve Bi-objective TSP Ishaan Mehta Sharareh Taghipour Sajad Saeedi 27 4 0 02 Mar 2022
Reinforcement Learning for Personalized Drug Discovery and Design for Complex Diseases: A Systems Pharmacology Perspective Ryan K. Tan Yang Liu Lei Xie 44 2 0 21 Jan 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Frank Hutter Marius Lindauer AI4CE 33 100 0 11 Jan 2022
Recent Advances in Reinforcement Learning in Finance B. Hambly Renyuan Xu Huining Yang OffRL 29 167 0 08 Dec 2021
A space of goals: the cognitive geometry of informationally bounded agents Karen Archer Nicola Catenacci Volpi F. Bröker Daniel Polani 14 5 0 05 Nov 2021
GrowSpace: Learning How to Shape Plants Yasmeen Hitti Ionelia Buzatu Manuel Del Verme M. Lefsrud Florian Golemo A. Durand 19 2 0 15 Oct 2021
Multi-Objective Graph Heuristic Search for Terrestrial Robot Design Jie Xu Andrew Spielberg Allan Zhao Daniela Rus Wojciech Matusik 66 38 0 13 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 25 6 0 07 Jul 2021
Expected Scalarised Returns Dominance: A New Solution Concept for Multi-Objective Decision Making Conor F. Hayes T. Verstraeten D. Roijers Enda Howley Patrick Mannion 34 14 0 02 Jun 2021
Scalable Pareto Front Approximation for Deep Multi-Objective Learning Michael Ruchte Josif Grabocka 32 58 0 24 Mar 2021
Chance-Constrained Control with Lexicographic Deep Reinforcement Learning Alessandro Giuseppi A. Pietrabissa 16 7 0 19 Oct 2020
Treatment Policy Learning in Multiobjective Settings with Fully Observed Outcomes S. Boominathan Michael Oberst Helen Zhou S. Kanjilal David Sontag OffRL 6 8 0 01 Jun 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
An empirical investigation of the challenges of real-world reinforcement learning Gabriel Dulac-Arnold Nir Levine D. Mankowitz Jerry Li Cosmin Paduraru Sven Gowal Todd Hester OffRL 34 120 0 24 Mar 2020