Closed nitsanluke closed 5 years ago
Hi @nitsanluke, the evaluation phase (as the name suggests) is used for evaluating the last learned policy, resulting from the last training period. If wanted, you can either decrease the number of episodes or environment steps that are being executed at each evaluation phase in the ScheduleParameters
defined in the preset.
@galleibo-intel Thanks for the information. So in the evaluation phase, there aren't any online updates to the model is what you are confirming. Because online learning models generally are updating in the test as well (since they are always predicting future). If I want to make online updates in the test at this point I'm assuming using train_act
is the best option is it? Thanks!
Is there a way to switch between doing updates during the evaluation phase (testing).
GraphManager. evaluate( ... )
weights are freezed?