Step 4

Validating the Trained Agent Control Capability

Overview

In Step 4, the reinforcement learning model has been produced, and the validation of the model will now be completed. The agent validation will use both the Digital Twin built during Step 2, and the trained agent model from Step 3 to bench test the agent. This step will produce a graph that will show what the actual system did during this time frame and how the agent would have preformed and the system would have responded to the agent. From one graph, you can see what is, and what it can be.

Example DQN Validation where the Agent control is more stable and responsive