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...