FIELD NOTES TOPIC
graph convolutional networks
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Relational Multi-Agent Reinforcement Learning for Dynamic Pricing in High-Speed Railway Markets
Researchers propose an entity graph modeling approach for dynamic pricing in liberalized railway systems, using a modified multi-agent twin delayed deep deterministic policy gradient algorithm with graph-based…
