Adaptive Multi-Mode DRL Framework for Intelligent RIS-Assisted Anti-Jamming in 6G Wireless Networks
An adaptive multi-mode Deep Reinforcement Learning (DRL) framework for intelligent RIS-assisted anti-jamming communication in dynamic 6G wireless networks that maintains stable communication performance under strong jamming power, CSI uncertainty, and high-mobility scenarios is proposed.