In this study, we have used the policy-gradient based reinforcement learning approach to generate initial design for microscope objective lenses. The lens parameters within the defined ranges can be determined by the model based on the given specifications. The results obtained from our analysis suggest that the reinforcement learning model can generate appropriate starting points which expedite the convergence of the optimisation process.
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