I have a question about the evaluation of a model. I use the code as described
`python3 src/main.py --config=qmix --env-config=sc2 with env_args.map_name=Multi_task_6m1M_vs_12m1M checkpoint_path=results/models/qmix_best/ save_replay=True test_nepisode=5 evaluate=True'
So, I run the model for evualuation 5 episodes but the resulst with the return_mean and the other metric have only one value
I try some modifications on the config but I get the same results.
What I try to do is obtain the same number of results that the number of episodes. That is to say, the return and the other metric obtained on each of the episodes.
Hi,
I have a question about the evaluation of a model. I use the code as described
`python3 src/main.py --config=qmix --env-config=sc2 with env_args.map_name=Multi_task_6m1M_vs_12m1M checkpoint_path=results/models/qmix_best/ save_replay=True test_nepisode=5 evaluate=True'
So, I run the model for evualuation 5 episodes but the resulst with the return_mean and the other metric have only one value
I try some modifications on the config but I get the same results.
What I try to do is obtain the same number of results that the number of episodes. That is to say, the return and the other metric obtained on each of the episodes.
Thanks!