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Dmitrii Krylov

2 accepted papers

2023

Learning to Design Analog Circuits to Meet Threshold Specifications

ICML 2023poster

Automated design of analog and radio-frequency circuits using supervised or reinforcement learning from simulation data has recently been studied as an alternative to manual expert design. It is straightforward for a design agent to learn an inverse function from desired performance metrics to circu…

2020

Reinforcement Learning Framework for Deep Brain Stimulation Study

IJCAI 2020poster

Malfunctioning neurons in the brain sometimes operate synchronously, reportedly causing many neurological diseases, e.g. Parkinson’s. Suppression and control of this collective synchronous activity are therefore of great importance for neuroscience, and can only rely on limited engineering trials du…