SA_DQN
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Evaluated return of the pre-trained model does not match the reported return
I'm trying to evaluate the pre-trained RoadRunner model. The return I got from running
python test.py --config config/RoadRunner_cov.json test_config:load_model_path=models/RoadRunner-convex.model
is around one thousand (as shown in the figure below), which is far from the reported 44638.0±7367.0.
I'm wondering what are the causes. Is there any updated environment or package that affects the performance?
hi,how did you solve it?