The increasing demand of monoclonal antibodies (mAB) has been the motivation to develop
methods to improve its yield of its production. The product yield for any chemical process
highly depends on the fidelity of the process automation used. To this extent, deployment of
model-based controllers results in heavy computational load, and its performance highly
dependent on the model's accuracy. To address some of these issues, the role of model-free
controllers like reinforcement learning (RL) based controllers seems to be promising …