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Multi-Objective Reinforcement Learning

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Showing 51–75 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 Framework—0
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 Learning—0
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
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