Patent ID: 11945481
Assignee: TRAFFIC CONTROL TECHNOLOGY CO., LTD
Field: Transport (Mechanical engineering)
Classification: CPC B  G | IPC B  G

Claim 6:
7. The method according to claim 6, wherein the reinforcement learning model is trained in the following manner before being deployed to the target train:
inputting simulated running state data and a simulated control operation into a pre-trained environment model to obtain next simulated running state data and a simulated reward value predicted by the environment model, wherein the simulated control operation is one of the plurality of preset control operations;
inputting the simulated running state data into the predicted value network to obtain a first predicted value output by the predicted value network for the simulated control operation;
inputting the next simulated running state data into the target value network to obtain a second predicted value output by the target value network for each preset control operation and determine a maximum second predicted value from a plurality of second predicted values corresponding to the plurality of preset control operations; and
determining a second loss value according to the simulated reward value, the maximum second predicted value, and the first predicted value, and updating the reinforcement learning model according to the second loss value.