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Notes on multi-agent learning
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GaP: A Graph-as-Policy Multi-Agent Self-Learning Harness For Variational Automation Tasks
The paper introduces a new multi-agent coding harness called Graph-as-Policy (GaP) for improving the reliability of robots in commercial and industrial applications, specifically focusing on variational automation…
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…
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