Title
Beyond Scalar Rewards: An Axiomatic Framework for Lexicographic MDPs Mehran Shakerinava Siamak Ravanbakhsh Adam Oberman 17 0 0 17 May 2025
Multi-Objective Reinforcement Learning for Energy-Efficient Industrial Control Georg Schafer Raphael Seliger Jakob Rehrl Stefan Huber Simon Hirlaender AI4CE 36 0 0 12 May 2025
EMORL: Ensemble Multi-Objective Reinforcement Learning for Efficient and Flexible LLM Fine-Tuning Lingxiao Kong Cong Yang Susanne Neufang Oya Beyan Zeyd Boukhers OffRL 39 0 0 05 May 2025
Exploring Equity of Climate Policies using Multi-Agent Multi-Objective Reinforcement Learning Palok Biswas Zuzanna Osika Isidoro Tamassia Adit Whorra J. Z. Salazar Jan Kwakkel F. Oliehoek P. Murukannaiah 33 0 0 02 May 2025
Adaptive Helpfulness-Harmlessness Alignment with Preference Vectors Ren-Wei Liang Chin-Ting Hsu Chan-Hung Yu Saransh Agrawal Shih-Cheng Huang Shang-Tse Chen Kuan-Hao Huang Shao-Hua Sun 81 0 0 27 Apr 2025
PEO: Improving Bi-Factorial Preference Alignment with Post-Training Policy Extrapolation Yuxuan Liu 45 0 0 03 Mar 2025
On Generalization Across Environments In Multi-Objective Reinforcement Learning Jayden Teoh Pradeep Varakantham Peter Vamplew OffRL 47 1 0 02 Mar 2025
CuRLA: Curriculum Learning Based Deep Reinforcement Learning for Autonomous Driving Bhargava Uppuluri Anjel Patel Neil Mehta Sridhar Kamath Pratyush Chakraborty 57 0 0 10 Jan 2025
Navigating Trade-offs: Policy Summarization for Multi-Objective Reinforcement Learning Zuzanna Osika J. Z. Salazar F. Oliehoek P. Murukannaiah OffRL 40 1 0 07 Nov 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 48 1 0 03 Oct 2024
LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World Taisuke Kobayashi 71 2 0 29 Sep 2024
Foundations of Multivariate Distributional Reinforcement Learning Harley Wiltzer Jesse Farebrother Arthur Gretton Mark Rowland OffRL 43 2 0 31 Aug 2024
Emergence in Multi-Agent Systems: A Safety Perspective Philipp Altmann Julian Schonberger Steffen Illium Maximilian Zorn Fabian Ritz Tom Haider Simon Burton Thomas Gabor 40 1 0 08 Aug 2024
Reinforcement Learning for Sustainable Energy: A Survey Koen Ponse Felix Kleuker Márton Fejér Álvaro Serra-Gómez Aske Plaat Thomas M. Moerland OffRL AI4CE 45 1 0 26 Jul 2024
Towards shutdownable agents via stochastic choice Elliott Thornley Alexander Roman Christos Ziakas Leyton Ho Louis Thomson 46 0 0 30 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 Optimization Using Adaptive Distributed Reinforcement Learning Jing Tan R. Khalili Holger Karl 31 0 0 13 Mar 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
Combinatorial Client-Master Multiagent Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing Zemuy Tesfay Gebrekidan Sebastian Stein Timothy J. Norman 31 4 0 18 Feb 2024
Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences Minyoung Hwang Luca Weihs Chanwoo Park Kimin Lee Aniruddha Kembhavi Kiana Ehsani 40 18 0 14 Dec 2023
Towards Trustworthy AI Software Development Assistance Daniel Maninger Krishna Narasimhan Mira Mezini 40 3 0 14 Dec 2023
Predictable Reinforcement Learning Dynamics through Entropy Rate Minimization Daniel Jarne Ornia Giannis Delimpaltadakis Jens Kober Javier Alonso-Mora 28 2 0 30 Nov 2023
EduGym: An Environment and Notebook Suite for Reinforcement Learning Education Thomas M. Moerland Matthias Muller-Brockhausen Zhao Yang Andrius Bernatavicius Koen Ponse Tom Kouwenhoven Andreas Sauter Michiel van der Meer Bram M. Renting Aske Plaat OffRL 40 0 0 17 Nov 2023
A Flexible Framework for Incorporating Patient Preferences Into Q-Learning Joshua P. Zitovsky Leslie Wilson Michael R. Kosorok 23 1 0 22 Jul 2023
Distributional Multi-Objective Decision Making Willem Röpke Conor F. Hayes Patrick Mannion Enda Howley Ann Nowé D. Roijers 27 3 0 09 May 2023
Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning T. Kanazawa Chetan Gupta 34 0 0 15 Mar 2023
Piecewise-Stationary Multi-Objective Multi-Armed Bandit with Application to Joint Communications and Sensing A. R. Balef S. Maghsudi 21 4 0 10 Feb 2023
Elixir: A system to enhance data quality for multiple analytics on a video stream Sibendu Paul Kunal Rao G. Coviello Murugan Sankaradas Oliver Po Y. C. Hu S. Chakradhar 29 1 0 08 Dec 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 26 4 0 23 Nov 2022
Addressing the issue of stochastic environments and local decision-making in multi-objective reinforcement learning Kewen Ding 26 2 0 16 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 33 8 0 02 Nov 2022
The Pump Scheduling Problem: A Real-World Scenario for Reinforcement Learning Henrique Donancio L. Vercouter H. Roclawski AI4CE 18 1 0 20 Oct 2022
Multi-Objective Coordination Graphs for the Expected Scalarised Returns with Generative Flow Models Conor F. Hayes T. Verstraeten D. Roijers Enda Howley Patrick Mannion 32 3 0 01 Jul 2022
Collaborative Training of Heterogeneous Reinforcement Learning Agents in Environments with Sparse Rewards: What and When to Share? Alain Andres Esther Villar-Rodriguez Javier Del Ser 22 9 0 24 Feb 2022
On Nash Equilibria in Normal-Form Games With Vectorial Payoffs Willem Röpke D. Roijers Ann Nowé Roxana Rădulescu 30 8 0 13 Dec 2021
Scalar reward is not enough: A response to Silver, Singh, Precup and Sutton (2021) Peter Vamplew Benjamin J. Smith Johan Källström G. Ramos Roxana Rădulescu ... Fredrik Heintz Patrick Mannion Pieter J. K. Libin Richard Dazeley Cameron Foale LRM 31 66 0 25 Nov 2021
Vector Optimization with Stochastic Bandit Feedback Shiao Liu Jian Huang 36 8 0 23 Oct 2021
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey Richard Dazeley Peter Vamplew Francisco Cruz 32 60 0 20 Aug 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
Opponent Learning Awareness and Modelling in Multi-Objective Normal Form Games Roxana Rădulescu T. Verstraeten Yijie Zhang Patrick Mannion D. Roijers A. Nowé 25 14 0 14 Nov 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 508 11,727 0 09 Mar 2017