Title
EMORL: Ensemble Multi-Objective Reinforcement Learning for Efficient and Flexible LLM Fine-Tuning Lingxiao Kong Cong Yang Susanne Neufang Oya Beyan Zeyd Boukhers OffRL 53 0 0 05 May 2025
On Generalization Across Environments In Multi-Objective Reinforcement Learning Jayden Teoh Pradeep Varakantham Peter Vamplew OffRL 57 1 0 02 Mar 2025
Pareto Set Learning for Multi-Objective Reinforcement Learning Erlong Liu Yu-Chang Wu Xiaobin Huang Chengrui Gao Ren-Jian Wang Ke Xue Chao Qian OffRL 143 2 0 12 Jan 2025
CuRLA: Curriculum Learning Based Deep Reinforcement Learning for Autonomous Driving Bhargava Uppuluri Anjel Patel Neil Mehta Sridhar Kamath Pratyush Chakraborty 77 0 0 10 Jan 2025
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 57 1 0 03 Oct 2024
LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World Taisuke Kobayashi 97 2 0 29 Sep 2024
MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning Yifu Yuan Zhenrui Zheng Zibin Dong Jianye Hao OffRL 70 1 0 28 Aug 2024
Towards shutdownable agents via stochastic choice Elliott Thornley Alexander Roman Christos Ziakas Leyton Ho Louis Thomson 77 0 0 30 Jun 2024
Predictable Reinforcement Learning Dynamics through Entropy Rate Minimization Daniel Jarne Ornia Giannis Delimpaltadakis Jens Kober Javier Alonso-Mora 32 2 0 30 Nov 2023
Intrinsically Motivated Hierarchical Policy Learning in Multi-objective Markov Decision Processes Sherif M. Abdelfattah K. Merrick Jiankun Hu 32 4 0 18 Aug 2023
The Pump Scheduling Problem: A Real-World Scenario for Reinforcement Learning Henrique Donancio L. Vercouter H. Roclawski AI4CE 56 1 0 20 Oct 2022
Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning Weizhe (Wesley) Chen Lantao Liu 45 42 0 02 Nov 2021
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey Richard Dazeley Peter Vamplew Francisco Cruz 36 62 0 20 Aug 2021
Levels of explainable artificial intelligence for human-aligned conversational explanations Richard Dazeley Peter Vamplew Cameron Foale Charlotte Young Sunil Aryal F. Cruz 40 90 0 07 Jul 2021
Risk Aware and Multi-Objective Decision Making with Distributional Monte Carlo Tree Search Conor F. Hayes Mathieu Reymond D. Roijers Enda Howley Patrick Mannion 6 8 0 01 Feb 2021
Scalable Optimization for Wind Farm Control using Coordination Graphs T. Verstraeten P. Daems Eugenio Bargiacchi D. Roijers Pieter J. K. Libin Jan Helsen 29 16 0 19 Jan 2021
Opponent Learning Awareness and Modelling in Multi-Objective Normal Form Games Roxana Rădulescu T. Verstraeten Yijie Zhang Patrick Mannion D. Roijers A. Nowé 42 14 0 14 Nov 2020
Learning Fair Policies in Multiobjective (Deep) Reinforcement Learning with Average and Discounted Rewards Umer Siddique Paul Weng Matthieu Zimmer FaML OffRL 29 85 0 18 Aug 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 38 75 0 15 May 2020
Molecular Design in Synthetically Accessible Chemical Space via Deep Reinforcement Learning Julien Horwood Emmanuel Noutahi AI4CE 33 68 0 29 Apr 2020
A utility-based analysis of equilibria in multi-objective normal form games Roxana Rădulescu Patrick Mannion Yijie Zhang D. Roijers A. Nowé 26 27 0 17 Jan 2020
Relationship Explainable Multi-objective Reinforcement Learning with Semantic Explainability Generation Huixin Zhan Yongcan Cao 33 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 45 140 0 06 Sep 2019
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation Runzhe Yang Xingyuan Sun Karthik Narasimhan 51 252 0 21 Aug 2019
Deep Reinforcement Learning for Multi-objective Optimization Kaiwen Li Tao Zhang Rui Wang AI4CE 34 268 0 06 Jun 2019
Learning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning Sandy H. Huang Martina Zambelli Jackie Kay M. Martins Yuval Tassa P. Pilarski R. Hadsell 48 50 0 20 Mar 2019
Universal Successor Features Approximators Diana Borsa André Barreto John Quan D. Mankowitz Rémi Munos H. V. Hasselt David Silver Tom Schaul 64 114 0 18 Dec 2018
Urban Driving with Multi-Objective Deep Reinforcement Learning Changjian Li Krzysztof Czarnecki 23 72 0 21 Nov 2018
Meta-Learning for Multi-objective Reinforcement Learning Xi Chen Ali Ghadirzadeh Mårten Björkman Pablo G. Cámara OffRL 39 54 0 08 Nov 2018
Optimization of Molecules via Deep Reinforcement Learning Zhenpeng Zhou S. Kearnes Li Li R. Zare Patrick F. Riley AI4CE 71 537 0 19 Oct 2018
Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration Ritesh Noothigattu Djallel Bouneffouf Nicholas Mattei Rachita Chandra Piyush Madan Kush R. Varshney Murray Campbell Moninder Singh F. Rossi AI4CE 30 23 0 21 Sep 2018
Dynamic Weights in Multi-Objective Deep Reinforcement Learning Axel Abels D. Roijers Tom Lenaerts A. Nowé Denis Steckelmacher OffRL 39 159 0 20 Sep 2018
Multiobjective Reinforcement Learning for Reconfigurable Adaptive Optimal Control of Manufacturing Processes Johannes Dornheim Norbert Link AI4CE 19 6 0 18 Sep 2018
Universal Successor Representations for Transfer Reinforcement Learning Chen Ma Junfeng Wen Yoshua Bengio OffRL 27 33 0 11 Apr 2018
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning Anusha Nagabandi I. Clavera Simin Liu R. Fearing Pieter Abbeel Sergey Levine Chelsea Finn 102 540 0 30 Mar 2018
Multi-objective Contextual Bandit Problem with Similarity Information E. Turğay Doruk Öner Cem Tekin 33 36 0 11 Mar 2018
A Multi-Objective Deep Reinforcement Learning Framework Thanh Thi Nguyen Ngoc Duy Nguyen Peter Vamplew Saeid Nahavandi Richard Dazeley Chee Peng Lim OffRL 47 110 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 26 49 0 21 Feb 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 206 18,685 0 20 Jul 2017
Identification and Off-Policy Learning of Multiple Objectives Using Adaptive Clustering Thommen George Karimpanal E. Wilhelm OffRL 35 17 0 17 May 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 754 11,793 0 09 Mar 2017
Multi-Objective Deep Reinforcement Learning Hossam Mossalam Yannis Assael D. Roijers Shimon Whiteson 54 153 0 09 Oct 2016
Successor Features for Transfer in Reinforcement Learning André Barreto Will Dabney Rémi Munos Jonathan J. Hunt Tom Schaul H. V. Hasselt David Silver 33 566 0 16 Jun 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 181 13,174 0 09 Sep 2015
A Survey of Multi-Objective Sequential Decision-Making D. Roijers Peter Vamplew Shimon Whiteson Richard Dazeley 57 644 0 04 Feb 2014
Approximation of Lorenz-Optimal Solutions in Multiobjective Markov Decision Processes P. Perny Paul Weng J. Goldsmith Josiah P. Hanna 35 21 0 26 Sep 2013
Set-valued dynamic treatment regimes for competing outcomes Eric B. Laber D. Lizotte Bradley Ferguson OffRL 53 70 0 12 Jul 2012
Risk-Sensitive Reinforcement Learning Applied to Control under Constraints Peter Geibel F. Wysotzki 70 317 0 09 Sep 2011