Abstract: Electronic design automation (EDA) of the present disclosure logically places components of the electronic circuitry onto an electronic design real estate to determine an architectural design placement for the electronic circuitry. The EDA evaluates a metaheuristic algorithm starting with an initial placement of components of the electronic circuitry onto the electronic design real estate to provide multiple possible placements for placing these components of the electronic circuitry onto the electronic design real estate. The EDA utilizes the multiple possible placements of the metaheuristic algorithm to train one or more probabilistic functions of a model-based reinforcement learning (RL) algorithm. The EDA evaluates the model-based RL algorithm utilizing the one or more probabilistic functions to determine the architectural design placement.