Mpc-guided imitation learning of bayesian neural network policies for the artificial pancreas
Although Model Predictive Control (MPC) is one of the main algorithms that has been
proposed for insulin control in the context of artificial pancreas (AP), it typically requires
complex online optimization, which is infeasible for resource-constrained medical devices.
MPC also usually relies on state estimation, an error-prone process. In this paper, we
introduce a novel approach to insulin control for the AP that uses Imitation Learning to
synthesize neural-network policies from MPC-computed demonstrations. Such policies are …
proposed for insulin control in the context of artificial pancreas (AP), it typically requires
complex online optimization, which is infeasible for resource-constrained medical devices.
MPC also usually relies on state estimation, an error-prone process. In this paper, we
introduce a novel approach to insulin control for the AP that uses Imitation Learning to
synthesize neural-network policies from MPC-computed demonstrations. Such policies are …
MPC-guided Imitation Learning of Neural Network Policies for the Artificial Pancreas
Even though model predictive control (MPC) is currently the main algorithm for insulin
control in the artificial pancreas (AP), it usually requires complex online optimizations, which
are infeasible for resource-constrained medical devices. MPC also typically relies on state
estimation, an error-prone process. In this paper, we introduce a novel approach to AP
control that uses Imitation Learning to synthesize neural-network insulin policies from MPC-
computed demonstrations. Such policies are computationally efficient and, by instrumenting …
control in the artificial pancreas (AP), it usually requires complex online optimizations, which
are infeasible for resource-constrained medical devices. MPC also typically relies on state
estimation, an error-prone process. In this paper, we introduce a novel approach to AP
control that uses Imitation Learning to synthesize neural-network insulin policies from MPC-
computed demonstrations. Such policies are computationally efficient and, by instrumenting …
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