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Multi-Objective Reinforcement Learning

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Showing 51–100 of 143 papers

TitleStatusHype
Behaviour-Diverse Automatic Penetration Testing: A Curiosity-Driven Multi-Objective Deep Reinforcement Learning Approach—0
Bone Soups: A Seek-and-Soup Model Merging Approach for Controllable Multi-Objective Generation—0
Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning—0
Multi-Dimensional Optimization for Text Summarization via Reinforcement Learning—0
Multi-Objective Coordination Graphs for the Expected Scalarised Returns with Generative Flow Models—0
Multi-objective Reinforcement Learning: A Tool for Pluralistic Alignment—0
Multi-objective Reinforcement Learning based approach for User-Centric Power Optimization in Smart Home Environments—0
Multi-Objective Reinforcement Learning based Multi-Microgrid System Optimisation Problem—0
Multi-Objective Reinforcement Learning for Critical Scenario Generation of Autonomous Vehicles—0
Multi-Objective Reinforcement Learning for Adaptive Personalized Autonomous Driving—0
Multi-Objective Reinforcement Learning for Energy-Efficient Industrial Control—0
Multi-Objective Reinforcement Learning for Cognitive Radar Resource Management—0
Multi-objective Reinforcement Learning with Continuous Pareto Frontier Approximation Supplementary Material—0
Navigation In Urban Environments Amongst Pedestrians Using Multi-Objective Deep Reinforcement Learning—0
Multi-objective Reinforcement Learning with Nonlinear Preferences: Provable Approximation for Maximizing Expected Scalarized Return—0
Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration—0
Online Pareto-Optimal Decision-Making for Complex Tasks using Active Inference—0
On The Expressivity of Objective-Specification Formalisms in Reinforcement Learning—0
Optimizing Vehicular Networks with Variational Quantum Circuits-based Reinforcement Learning—0
Multi-Objective Reinforcement Learning-based Approach for Pressurized Water Reactor Optimization—0
Pareto Policy Adaptation—0
Pareto Set Learning for Multi-Objective Reinforcement Learning—0
Provable Multi-Objective Reinforcement Learning with Generative Models—0
Provably Efficient Algorithms for Multi-Objective Competitive RL—0
Radiology Report Generation via Multi-objective Preference Optimization—0
Relationship Explainable Multi-objective Reinforcement Learning with Semantic Explainability Generation—0
Reward-Balancing for Statistical Spoken Dialogue Systems using Multi-objective Reinforcement Learning—0
Risk Aware and Multi-Objective Decision Making with Distributional Monte Carlo Tree Search—0
Conflict-Averse Gradient Aggregation for Constrained Multi-Objective Reinforcement Learning—0
Solving single-objective tasks by preference multi-objective reinforcement learning—0
Surpassing legacy approaches to PWR core reload optimization with single-objective Reinforcement learning—0
Taming Lagrangian Chaos with Multi-Objective Reinforcement Learning—0
Toward negotiable reinforcement learning: shifting priorities in Pareto optimal sequential decision-making—0
Toward Pareto Efficient Fairness-Utility Trade-off inRecommendation through Reinforcement Learning—0
Towards Efficient Multi-Objective Optimisation for Real-World Power Grid Topology Control—0
Traversing Pareto Optimal Policies: Provably Efficient Multi-Objective Reinforcement Learning—0
Urban Drone Navigation: Autoencoder Learning Fusion for Aerodynamics—0
Using Logical Specifications of Objectives in Multi-Objective Reinforcement Learning—0
Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning—0
Value function interference and greedy action selection in value-based multi-objective reinforcement learning—0
Human-Centric Aware UAV Trajectory Planning in Search and Rescue Missions Employing Multi-Objective Reinforcement Learning with AHP and Similarity-Based Experience Replay—0
Human-in-the-Loop Policy Optimization for Preference-Based Multi-Objective Reinforcement Learning—0
Inferring Preferences from Demonstrations in Multi-objective Reinforcement Learning: A Dynamic Weight-based Approach—0
Inferring Preferences from Demonstrations in Multi-Objective Residential Energy Management—0
In Search for Architectures and Loss Functions in Multi-Objective Reinforcement Learning—0
Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration—0
Intrinsically Motivated Hierarchical Policy Learning in Multi-objective Markov Decision Processes—0
Joint Optimization of Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm—0
Large Language Models as Efficient Reward Function Searchers for Custom-Environment Multi-Objective Reinforcement Learning—0
Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning—0
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