RLRIS
PublicThis project implements a Deep Q-Network (DQN) for optimizing Reconfigurable Intelligent Surface (RIS) configurations in 6G wireless communication systems. The system uses reinforcement learning to select optimal RIS phase configurations to maximize signal quality and user fairness.
6galgorithmschannel-state-informationcommunication-systemsdeep-q-learningdeep-q-networkdeep-reinforcement-learningmachine-learningreconfigurable-intelligent-surfacesreinforcement-learning
Creat：2025-10-17T08:42:19
Update：2025-12-01T07:51:50
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