Human Centered Digital Wellbeing through a Multi-Agent Actor–Critic Framework for Social Media Addiction Mitigation

1. Propose a human-centered RL framework to reduce social media addiction while balancing engagement and well-being.
2. Develop a realistic simulation environment modeling user behaviors like mood, fatigue, and break adherence.
3. Introduce a lightweight multi-agent actor–critic model with adaptive intervention strategies.
4. Achieve statistically significant improvements in digital well-being and high validation accuracy (92.6%) compared to baselines.