Method of RF analog circuits electronic design automation based on gcn and deep reinforcement learning

A computer-implemented method for generating device parameters of circuits using a pretrained reinforcement learning (RL) agent composed of a graph neural network (GNN) and a fully connected neural network (FCNN), wherein the method uses a processor coupled with a memory storing instructions implementing the method, wherein the instructions, when executed by the processor, carry out at steps of the method, comprising:

• acquiring, via an interface, inputs with respect to a set of desired specifications or one desired specification of a circuit, device parameters, a fixed topology of the circuit and providing the inputs to the RL agent, wherein the desired circuit description includes a graph modeling the topology of the circuit and device parameters of the circuit, wherein the desired specifications include gain, bandwidth, phase margin, power consumption, output power and power efficiency, wherein the pretrained RL agent is configured to perform steps of:
• transmitting an action selected from a set of actions to an environment module;
• updating the device parameters of the circuit with respect to a circuit desired specification according to the selected action using a data processor of the environment module, wherein the action changes each of current device parameters by a minimum unit value of each device parameter;
• obtaining a current specification of the circuit by simulating a netlist of the circuit based on the updated device parameters using a circuit simulator of the environment module, wherein the environment module includes the netlist of the circuit;
• acquiring a reward from the environment module, wherein the reward is computed based on a difference between the current specification and the desired specification, wherein the steps of the transmitting, updating, obtaining and acquiring are continued until the reward reaches to a threshold value or a number of steps reach a preset value;
• and
• generating the updated device parameters of the circuit.