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Multi-Objective Reinforcement Learning

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Showing 1–50 of 143 papers

TitleStatusHype
Multi-Objective Reinforcement Learning for Cognitive Radar Resource Management—0
Dynamic Preference Multi-Objective Reinforcement Learning for Internet Network Management—0
FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning—0
Benchmarking MOEAs for solving continuous multi-objective RL problemsCode0
Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management—0
Multi-Objective Reinforcement Learning for Energy-Efficient Industrial Control—0
Multi-Objective Reinforcement Learning for Adaptive Personalized Autonomous Driving—0
Active Sampling for MRI-based Sequential Decision MakingCode0
EMORL: Ensemble Multi-Objective Reinforcement Learning for Efficient and Flexible LLM Fine-TuningCode0
A Novel Multi-Objective Reinforcement Learning Algorithm for Pursuit-Evasion Game—0
Closing the Intent-to-Behavior Gap via Fulfillment Priority Logic—0
On Generalization Across Environments In Multi-Objective Reinforcement LearningCode1
Multi-Objective Reinforcement Learning for Critical Scenario Generation of Autonomous Vehicles—0
Bone Soups: A Seek-and-Soup Model Merging Approach for Controllable Multi-Objective Generation—0
Aerial Reliable Collaborative Communications for Terrestrial Mobile Users via Evolutionary Multi-Objective Deep Reinforcement Learning—0
Mol-MoE: Training Preference-Guided Routers for Molecule GenerationCode0
Multi-Objective Reinforcement Learning for Power Grid Topology ControlCode1
Towards Efficient Multi-Objective Optimisation for Real-World Power Grid Topology Control—0
Pareto Set Learning for Multi-Objective Reinforcement Learning—0
PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective OptimizationCode0
Radiology Report Generation via Multi-objective Preference Optimization—0
Scalable Multi-Objective Reinforcement Learning with Fairness Guarantees using Lorenz DominanceCode1
Navigating Trade-offs: Policy Summarization for Multi-Objective Reinforcement LearningCode0
Adaptive Alignment: Dynamic Preference Adjustments via Multi-Objective Reinforcement Learning for Pluralistic AI—0
Multi-objective Reinforcement Learning: A Tool for Pluralistic Alignment—0
C-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto FrontCode1
Inferring Preferences from Demonstrations in Multi-objective Reinforcement LearningCode0
Stage-Wise Reward Shaping for Acrobatic Robots: A Constrained Multi-Objective Reinforcement Learning ApproachCode2
An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning—0
Large Language Models as Efficient Reward Function Searchers for Custom-Environment Multi-Objective Reinforcement Learning—0
MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning—0
Multi-Objective Deep Reinforcement Learning for Optimisation in Autonomous Systems—0
Traversing Pareto Optimal Policies: Provably Efficient Multi-Objective Reinforcement Learning—0
In Search for Architectures and Loss Functions in Multi-Objective Reinforcement Learning—0
A Meta-Learning Approach for Multi-Objective Reinforcement Learning in Sustainable Home Environments—0
Learning Pareto Set for Multi-Objective Continuous Robot ControlCode0
Online Pareto-Optimal Decision-Making for Complex Tasks using Active Inference—0
The Max-Min Formulation of Multi-Objective Reinforcement Learning: From Theory to a Model-Free AlgorithmCode0
Multi-objective Reinforcement learning from AI FeedbackCode0
Deep Multi-Objective Reinforcement Learning for Utility-Based Infrastructural Maintenance OptimizationCode0
STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement LearningCode0
Multi-Dimensional Optimization for Text Summarization via Reinforcement Learning—0
Optimizing Vehicular Networks with Variational Quantum Circuits-based Reinforcement Learning—0
Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement LearningCode0
Theoretical Study of Conflict-Avoidant Multi-Objective Reinforcement Learning—0
Generalized Multi-Objective Reinforcement Learning with Envelope Updates in URLLC-enabled Vehicular Networks—0
Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning—0
UCB-driven Utility Function Search for Multi-objective Reinforcement LearningCode1
Demonstration Guided Multi-Objective Reinforcement Learning—0
Conflict-Averse Gradient Aggregation for Constrained Multi-Objective Reinforcement Learning—0
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