What is the correct way of doing evaluations on the Carla tasks?
For example, when I run python awr/scripts/run_conv.py, it gives me an enormous number of warnings and NaNs also appear in the results (as in the image below), is that normal?
Also, after 78 iterations the program is halted with "terminate called after throwing an instance of 'std::out_of_range'"
Thank you for making this great dataset! Would be better if more detailed instruction on how to replicate the results in the paper can be provided (even better if along with the estimated time when running on a single gpu)
What is the correct way of doing evaluations on the Carla tasks? For example, when I run
python awr/scripts/run_conv.py, it gives me an enormous number of warnings and NaNs also appear in the results (as in the image below), is that normal?Also, after 78 iterations the program is halted with "terminate called after throwing an instance of 'std::out_of_range'"
Thank you for making this great dataset! Would be better if more detailed instruction on how to replicate the results in the paper can be provided (even better if along with the estimated time when running on a single gpu)