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  • title: Reinforcement Learning with Graphs: Chemistry and Beyond
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            Reinforcement Learning with Graphs: Chemistry and Beyond
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            Reinforcement Learning with Graphs: Chemistry and Beyond

            Jun 15, 2019

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            Marwin Segler

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            Graph-structured representations are widely used as a natural and powerful way to encode information such as relations between objects or entities, interactions between online users (e.g., in social networks), 3D meshes in computer graphics, multi-agent environments, as well as molecular structures, to name a few. Learning and reasoning with graph-structured representations is gaining increasing interest in both academia and industry, due to its fundamental advantages over more traditional unstr…

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