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Mohammad Yarjanli

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#reinforcement learning Open access Oct 2026

A robust model for improving digital marketing using sentiment analysis and two-agent off-policy proximal policy optimization

Understanding consumer sentiment is important in digital marketing because it strongly influences brand perception and purchasing decisions. This paper proposes a novel two-agent off-policy proximal policy optimization (PPO) framework. Unlike standard multi-agent reinforcement learning (RL) approaches, the proposed fra...

Mohammad Yarjanli, Neda Mahdinasab · 0 citations

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