Multi-Objective Reinforcement Learning

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Most implemented papers archive 2025-07-28

30 shown of 55 papers with code (143 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Optimization of Molecules via Deep Reinforcement Learning
  19 Oct 2018 7 repositories listed
  We present a framework, which we call Molecule Deep Q-Networks (MolDQN), for molecule optimization by combining domain knowledge of chemistry and state-of-the-art reinforcement learning techniques (double Q-learning and…
• A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation
  21 Aug 2019 4 repositories listed Syntology ran 2 of 3 samples · 1 unverified · 1 pointer-only (licence)
  We introduce a new algorithm for multi-objective reinforcement learning (MORL) with linear preferences, with the goal of enabling few-shot adaptation to new tasks.
• Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization
  18 Jan 2023 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Finally, we introduce a bound that characterizes the maximum utility loss (with respect to the optimal solution) incurred by the partial solutions computed by our method throughout learning.
• Dynamic Weights in Multi-Objective Deep Reinforcement Learning
  20 Sep 2018 3 repositories listed
  In the dynamic weights setting the relative importance changes over time and specialized algorithms that deal with such change, such as a tabular Reinforcement Learning (RL) algorithm by Natarajan and Tadepalli (2005),…
• A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning
  26 Sep 2023 2 repositories listed
  Multi-objective reinforcement learning algorithms (MORL) extend standard reinforcement learning (RL) to scenarios where agents must optimize multiple---potentially conflicting---objectives, each represented by a…
• MO-Gym: A Library of Multi-Objective Reinforcement Learning Environments
  30 Nov 2022 2 repositories listed
  We introduce MO-Gym, an extensible library containing a diverse set of multi-objective reinforcement learning environments.
• Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning
  10 Jun 2022 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  We study policy optimization for Markov decision processes (MDPs) with multiple reward value functions, which are to be jointly optimized according to given criteria such as proportional fairness (smooth concave…
• Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control
  1 Jan 2020 2 repositories listed
  Many real-world control problems involve conflicting objectives where we desire a dense and high-quality set of control policies that are optimal for different objective preferences (called Pareto-optimal).
• Multi-Objective Deep Reinforcement Learning
  9 Oct 2016 2 repositories listed
  We propose Deep Optimistic Linear Support Learning (DOL) to solve high-dimensional multi-objective decision problems where the relative importances of the objectives are not known a priori.
• Benchmarking MOEAs for solving continuous multi-objective RL problems
  19 May 2025 1 repository listed
  Multi-objective reinforcement learning (MORL) addresses the challenge of simultaneously optimizing multiple, often conflicting, rewards, moving beyond the single-reward focus of conventional reinforcement learning (RL).
• Active Sampling for MRI-based Sequential Decision Making
  7 May 2025 1 repository listed
  Our approach paves the way for the future of MRI as a comprehensive and affordable PoC device.
• EMORL: Ensemble Multi-Objective Reinforcement Learning for Efficient and Flexible LLM Fine-Tuning
  5 May 2025 1 repository listed
  Recent advances in reinforcement learning (RL) for large language model (LLM) fine-tuning show promise in addressing multi-objective tasks but still face significant challenges, including complex objective balancing,…
• On Generalization Across Environments In Multi-Objective Reinforcement Learning
  2 Mar 2025 1 repository listed
  Despite recent advances, existing MORL literature has narrowly focused on performance within static environments, neglecting the importance of generalizing across diverse settings.
• Mol-MoE: Training Preference-Guided Routers for Molecule Generation
  8 Feb 2025 1 repository listed Syntology ran 0 of 3 samples · 3 unverified
  Recent advances in language models have enabled framing molecule generation as sequence modeling.
• Multi-Objective Reinforcement Learning for Power Grid Topology Control
  27 Jan 2025 1 repository listed
  Transmission grid congestion increases as the electrification of various sectors requires transmitting more power.
• PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization
  14 Dec 2024 1 repository listed
  Despite the long history of MOO, recent years have witnessed a surge in interest within the ML community in the development of gradient manipulation algorithms for MOO, thanks to the availability of gradient information…
• Scalable Multi-Objective Reinforcement Learning with Fairness Guarantees using Lorenz Dominance
  27 Nov 2024 1 repository listed
  Multi-Objective Reinforcement Learning (MORL) aims to learn a set of policies that optimize trade-offs between multiple, often conflicting objectives.
• Navigating Trade-offs: Policy Summarization for Multi-Objective Reinforcement Learning
  7 Nov 2024 1 repository listed
  However, the solution set is typically large and multi-dimensional, where each policy (e.
• C-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto Front
  3 Oct 2024 1 repository listed Syntology ran 0 of 3 samples · 3 unverified · 3 pointer-only (licence)
  Multi-objective reinforcement learning (MORL) excels at handling rapidly changing preferences in tasks that involve multiple criteria, even for unseen preferences.
• Inferring Preferences from Demonstrations in Multi-objective Reinforcement Learning
  30 Sep 2024 1 repository listed
  Many decision-making problems feature multiple objectives where it is not always possible to know the preferences of a human or agent decision-maker for different objectives.
• Stage-Wise Reward Shaping for Acrobatic Robots: A Constrained Multi-Objective Reinforcement Learning Approach
  24 Sep 2024 1 repository listed
  As the complexity of tasks addressed through reinforcement learning (RL) increases, the definition of reward functions also has become highly complicated.
• Learning Pareto Set for Multi-Objective Continuous Robot Control
  27 Jun 2024 1 repository listed
  For a control problem with multiple conflicting objectives, there exists a set of Pareto-optimal policies called the Pareto set instead of a single optimal policy.
• The Max-Min Formulation of Multi-Objective Reinforcement Learning: From Theory to a Model-Free Algorithm
  12 Jun 2024 1 repository listed Syntology ran 1 of 4 samples · 3 unverified · 4 pointer-only (licence)
  In this paper, we consider multi-objective reinforcement learning, which arises in many real-world problems with multiple optimization goals.
• Multi-objective Reinforcement learning from AI Feedback
  11 Jun 2024 1 repository listed
  This paper presents Multi-Objective Reinforcement Learning from AI Feedback (MORLAIF), a novel approach to improving the alignment and performance of language models trained using reinforcement learning from AI feedback…
• Deep Multi-Objective Reinforcement Learning for Utility-Based Infrastructural Maintenance Optimization
  10 Jun 2024 1 repository listed
  We evaluated MO-DCMAC using two utility functions, which use probability of collapse and cost as input.
• STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning
  6 Jun 2024 1 repository listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)
  Accuracy and timeliness are indeed often conflicting goals in prediction tasks.
• Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning
  26 May 2024 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  In numerous reinforcement learning (RL) problems involving safety-critical systems, a key challenge lies in balancing multiple objectives while simultaneously meeting all stringent safety constraints.
• UCB-driven Utility Function Search for Multi-objective Reinforcement Learning
  1 May 2024 1 repository listed
  In Multi-objective Reinforcement Learning (MORL) agents are tasked with optimising decision-making behaviours that trade-off between multiple, possibly conflicting, objectives.
• Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation
  21 Feb 2024 1 repository listed
  Textual style expresses a diverse set of information, including interpersonal dynamics (e.
• Divide and Conquer: Provably Unveiling the Pareto Front with Multi-Objective Reinforcement Learning
  11 Feb 2024 1 repository listed Syntology ran 16 of 17 samples · 1 unverified · 17 pointer-only (licence)
  An important challenge in multi-objective reinforcement learning is obtaining a Pareto front of policies to attain optimal performance under different preferences.

Syntology lines on 9 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.