A DDPG-based adaptive DBS controller with a predictive reward model and Gumbel-Softmax exploration suppresses beta power faster than standard DDPG in simulation and survives FP16 quantization.
The cell biology of parkinson’s disease,
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Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease
A DDPG-based adaptive DBS controller with a predictive reward model and Gumbel-Softmax exploration suppresses beta power faster than standard DDPG in simulation and survives FP16 quantization.