| <table><tr><td>Property group</td><td>Property Name</td><td>Description</td><td>Misc.</td><td>Note</td></tr><tr><td>Model File</td><td>Save Model File</td><td>Decide whether to save model file.</td><td>Required</td><td>Yes, No</td></tr><tr><td>Model File</td><td>Model File Path</td><td>Set the path for the model file to be saved.</td><td>Conditionally Required</td><td/></tr><tr><td>Selection options</td><td>Model Setting</td><td>Select the gms file to load as an environment model.</td><td>Required</td><td/></tr><tr><td>Selection options</td><td>Discount Rate(gamma)</td><td>Set the discount rate(gamma) for the future reward.</td><td>Required</td><td>0<real number<1</td></tr><tr><td>Selection options</td><td>Actor Learning Rate</td><td>Specify the Learning Rate for the Actor neural network.</td><td>Required</td><td>0<real number<1</td></tr><tr><td>Selection options</td><td>Critic Learning Rate</td><td>Specify the learning rate of the Critic neural network.</td><td>Required</td><td>0<real number<1</td></tr><tr><td>Selection options</td><td>Max Episodes</td><td>Specify the maximum number of episodes to learn.</td><td>Required</td><td>Integer</td></tr><tr><td>Selection options</td><td>Max Steps</td><td>Specify the number of maximum steps in an episode.</td><td>Required</td><td>Integer</td></tr><tr><td>Selection options</td><td>Target Variable</td><td>Specifies a Target value for the variable to be controlled.</td><td>Required</td><td>Discrete Variables</td></tr><tr><td>Selection options</td><td>Target Tolerance</td><td>Specify the allowable error margin for the target value when defining the environmental reward.</td><td>Required</td><td>Integer</td></tr><tr><td>Selection options</td><td>Target Upper Limit</td><td>Specify the condition for ending an episode. The episode ends when the predicted value in the environmental model exceeds the specified value</td><td>Required</td><td>Real number</td></tr><tr><td>Selection options</td><td>Target Lower Limit</td><td>Specify the condition for ending an episode. The episode ends when the predicted value in the environmental model is below the specified value</td><td>Required</td><td>Real number</td></tr><tr><td>Selection options</td><td>Control Variable</td><td>Specify the control variables in Environmental Model.</td><td>Required</td><td/></tr><tr><td>Selection options</td><td>Control Amount</td><td>Specify the Control Amount of the control variable.</td><td>Required</td><td>Integer</td></tr><tr><td>Selection options</td><td>Batch Normalization</td><td>Decide whether to use batch normalization.</td><td>Required</td><td>Yes, No</td></tr><tr><td>Selection options</td><td>Output Layer Activation Function</td><td>Specifies the Activation Function of the output layer.</td><td>Required</td><td>Linear, Sigmoid, ReLU, Leaky ReLU, SoftMax</td></tr><tr><td>Hidden Layer Configuration</td><td>Add Hidden Layer</td><td>Add hidden layer</td><td>Optional</td><td/></tr><tr><td>Hidden Layer Configuration</td><td>Remove Last Hidden Layer</td><td>Remove the last hidden layer.</td><td>Optional</td><td/></tr><tr><td>Hidden Layer #</td><td>Number of nodes</td><td>Specify the number of nodes for each specified hidden layer</td><td>Required</td><td>Integer</td></tr><tr><td>Hidden Layer #</td><td>Activation Function</td><td>Select the activation function for the specified hidden layer.</td><td>Required</td><td>Linear, Sigmoid, ReLU, Leaky ReLU, SoftMax</td></tr></table> |