Aider is a “pair-programming” tool that can use various providers as the AI back end, including a locally running instance of ...
Abstract: Neuro-transfer function (neuro-TF) methods are deemed as powerful tools in modeling the electromagnetic (EM) behavior of microwave passive components. Existing neuro-TF methods either endure ...
Recent work has shown that deep neural networks are capable ofapproximating both value functions and policies in reinforcementlearning domains featuring continuous state and actionspaces. However, to ...
Abstract: Moving away from repetitive tasks, robots nowadays demand versatile skills that adapt to different situations. Task-parameterized learning improves the generalization of motion policies by ...
🧠 Classify handwritten digits using a hybrid quantum-classical neural network with Qiskit and PyTorch, showcasing quantum computing's power in machine learning.
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