In this study, we expand the application of a deep reinforcement learning (DRL) pulse design framework to designing four basic types of RF pulses and more complicated multi-band RF pulses. Our results showed that the DRL framework can be used to effectively design all types of RF pulses, improving slice profiles with reduced ripple levels in comparison to the conventional SLR algorithm.
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