SunQingYun1996/Graph-Reinforcement-Learning-Papers
A curated list of graph reinforcement learning papers.
This is a curated list of research papers and associated code for graph reinforcement learning. It helps researchers and practitioners quickly find relevant academic work on combining graph structures with reinforcement learning techniques. You can browse papers by year, venue, and whether they enhance Graph Neural Networks (GNNs) with RL or vice-versa, or if they are non-GNN related.
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Use this if you are a researcher or advanced practitioner looking for specific academic papers and code implementations on graph reinforcement learning.
Not ideal if you are looking for a beginner-friendly tutorial, an off-the-shelf tool, or a general overview of graph reinforcement learning for non-technical users.
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Dec 27, 2021
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