Training KPIS - m-marini/wheellyj GitHub Wiki
TDAgent
The TDAgent generates the following kpis at each step
| Key | Values |
|---|---|
| s0.* | the network signals |
| actions.* | the actions |
| reward | the reward |
At each training mini-batch step
| Key | Values |
|---|---|
| delta | the delta value (error) |
| avgReward | the average reward |
| trainingLayers.* | the training layer values |
| trainedLayers.* | the trained layer values |
| actionMasks.* | the action masks |
| grads.* | the output gradients |
| deltaGrads.* | the output gradients multiply by delta |
Batch trainer
The batch trainer generates the following kpis at each training mini-batch step
| Key | Values |
|---|---|
| delta | the delta value (error) |
| avgReward | the average reward |
| trainingLayers.* | the training layer values |
| trainedLayers.* | the trained layer values |
| actionMasks.* | the action masks |
| grads.* | the output gradients |
| deltaGrads.* | the output gradients multiply by delta |
Release 0.17.0