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TG-MG: Task grouping based on MDP graph for multi-task reinforcement learning
DOI:10.1016/j.eswa.2026.131922.png)
Abstract
En 中文
• TG-MG is the first effort to explore the task grouping problem in the field of MTRL. • We propose an MDP graph learning method to measure MDP similarity. • We propose a novel Task Grouping method based on MDP Graph (TG-MG) for MTRL. • Extensive experiments and comparative analyses verify the effectiveness of TGMG.
Keywords:
Task Grouping
MDP Graph
Multi-Task Reinforcement Learning
Graph Learning
Markov Decision Process
Journal
IF:
7.5
Papers:
2.9W
Citations:
10.2W

