Artificial Intelligence, Business, Reinforcement Learning.
powerful framework for learning optimal spectrum allocation policies through interaction with the environment. In the context of dynamic spectrum allocation, RL agents can learn to make decisions (such as channel selection and transmission power control) based on environmental feedback (e.g.,