Write the pseudo-code for an RL model with Q-learning architecture that will be deployed in the following environment: a. Suppose a high-performance engine is being developed. The oil pressure needs to be within a safety limit x. External factors can change safety levels in oil pressure. Some actions to maintain safety levels are reducing fuel consumption, reducing engine rpm, and increasing the cooling rate. Oil pressure data is collected from the oil pressure sensor and analyzed by the engines computer. After training, the model can predict situations where the oil pressure will reach high- risk levels and execute accordingly to keep the engine operational.