most citedC-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto Front

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cs.LG2024

Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data

Chengrui Qu, Laixi Shi, Kishan Panaganti +2

Online Reinforcement learning (RL) typically requires high-stakes online interaction data to learn a policy for a target task. This prompts interest in leveraging historical data t…

cs.LG2024★ 1 cited

C-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto Front

Ruohong Liu, Yuxin Pan, Linjie Xu +4

Multi-objective reinforcement learning (MORL) excels at handling rapidly changing preferences in tasks that involve multiple criteria, even for unseen preferences. However, previou…