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Multi-Objective Reinforcement Learning

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Showing 51–75 of 143 papers

TitleStatusHype
PMGDA: A Preference-based Multiple Gradient Descent AlgorithmCode0
Policy-regularized Offline Multi-objective Reinforcement LearningCode0
Predicting optimal value functions by interpolating reward functions in scalarized multi-objective reinforcement learningCode0
A Distributional View on Multi-Objective Policy OptimizationCode0
Accommodating Picky Customers: Regret Bound and Exploration Complexity for Multi-Objective Reinforcement LearningCode0
PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective OptimizationCode0
Multi-Objective Reinforcement Learning for Adaptive Personalized Autonomous Driving—0
Multi-Objective Reinforcement Learning for Energy-Efficient Industrial Control—0
Multi-Objective Deep Reinforcement Learning for Optimisation in Autonomous Systems—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
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