Abstract: In the realm of neuroprosthetics, the imperative for hardware-efficient, faster spiking neuron models, reproducing spiking patterns with better precision, has emerged as a pivotal necessity; ...
Abstract: The Kleinman iteration is a policy iteration method for solving Riccati equations and forms the basis of many reinforcement learning (RL) algorithms. However, its direct application to ...
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