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Antonino Angi

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Packets in P4 Switches With Multi-Agent Decisions Logic

ROAR is proposed, a novel architectural solution that implements Deep Reinforcement Learning (DRL) inside P4 programmable switches to perform adaptive routing policies based on network conditions and traffic patterns that show both a throughput and delay improvement in the transmission compared to traditional approaches.

Antonino Angi, Alessio Sacco, Flavio Esposito et al. · 0 citations