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Multi-Objective Reinforcement Learning

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Showing 51–100 of 143 papers

TitleStatusHype
Human-Centric Aware UAV Trajectory Planning in Search and Rescue Missions Employing Multi-Objective Reinforcement Learning with AHP and Similarity-Based Experience Replay—0
Dynamic Multi-Reward Weighting for Multi-Style Controllable GenerationCode0
MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization—0
Surpassing legacy approaches to PWR core reload optimization with single-objective Reinforcement learning—0
PMGDA: A Preference-based Multiple Gradient Descent AlgorithmCode0
Divide and Conquer: Provably Unveiling the Pareto Front with Multi-Objective Reinforcement LearningCode0
Value function interference and greedy action selection in value-based multi-objective reinforcement learning—0
Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning—0
Modeling and Optimization of Epidemiological Control Policies Through Reinforcement Learning—0
Inferring Preferences from Demonstrations in Multi-Objective Residential Energy Management—0
An Empirical Investigation of Value-Based Multi-objective Reinforcement Learning for Stochastic Environments—0
Human-in-the-Loop Policy Optimization for Preference-Based Multi-Objective Reinforcement Learning—0
Policy-regularized Offline Multi-objective Reinforcement LearningCode0
Multi-Objective Reinforcement Learning-based Approach for Pressurized Water Reactor Optimization—0
Promptable Behaviors: Personalizing Multi-Objective Rewards from Human PreferencesCode1
Enhancing Robotic Navigation: An Evaluation of Single and Multi-Objective Reinforcement Learning Strategies—0
AdsorbRL: Deep Multi-Objective Reinforcement Learning for Inverse Catalysts DesignCode0
Multi-Objective Reinforcement Learning Based on Decomposition: A Taxonomy and FrameworkCode0
Multi-objective Reinforcement Learning with Nonlinear Preferences: Provable Approximation for Maximizing Expected Scalarized Return—0
Controlled Decoding from Language Models—0
Hyperparameter Optimization for Multi-Objective Reinforcement LearningCode0
On The Expressivity of Objective-Specification Formalisms in Reinforcement Learning—0
Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter MergingCode1
Urban Drone Navigation: Autoencoder Learning Fusion for Aerodynamics—0
GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive TestingCode1
A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement LearningCode2
Distributional Pareto-Optimal Multi-Objective Reinforcement LearningCode1
A Robust Policy Bootstrapping Algorithm for Multi-objective Reinforcement Learning in Non-stationary Environments—0
Intrinsically Motivated Hierarchical Policy Learning in Multi-objective Markov Decision Processes—0
A Multiobjective Reinforcement Learning Framework for Microgrid Energy Management—0
Cooperative Multi-Objective Reinforcement Learning for Traffic Signal Control and Carbon Emission Reduction—0
Scaling Pareto-Efficient Decision Making Via Offline Multi-Objective RLCode1
Inferring Preferences from Demonstrations in Multi-objective Reinforcement Learning: A Dynamic Weight-based Approach—0
Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning—0
Piecewise-Stationary Multi-Objective Multi-Armed Bandit with Application to Joint Communications and SensingCode0
A Scale-Independent Multi-Objective Reinforcement Learning with Convergence Analysis—0
Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement PrioritizationCode0
Lexicographic Multi-Objective Reinforcement LearningCode1
Taming Lagrangian Chaos with Multi-Objective Reinforcement Learning—0
Elixir: A system to enhance data quality for multiple analytics on a video stream—0
Q-Pensieve: Boosting Sample Efficiency of Multi-Objective RL Through Memory Sharing of Q-SnapshotsCode0
MO-Gym: A Library of Multi-Objective Reinforcement Learning EnvironmentsCode2
Welfare and Fairness in Multi-objective Reinforcement LearningCode0
Monte Carlo Tree Search Algorithms for Risk-Aware and Multi-Objective Reinforcement Learning—0
Addressing the issue of stochastic environments and local decision-making in multi-objective reinforcement learning—0
Formal Contracts Mitigate Social Dilemmas in Multi-Agent RLCode1
PD-MORL: Preference-Driven Multi-Objective Reinforcement Learning AlgorithmCode1
Multi-Objective Coordination Graphs for the Expected Scalarised Returns with Generative Flow Models—0
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement LearningCode0
gTLO: A Generalized and Non-linear Multi-Objective Deep Reinforcement Learning ApproachCode0
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