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?
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?