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Hi! I have the same question as a previously closed issue. I wasn't able to reproduce results for Antmaze tasks in Table 8. I made the following adjustments in run_experiments.sh, 1. change envs to Antmaze; 2. make normalize False. The .sh file looks like this:
envs=("antmaze-umaze-v0"
"antmaze-umaze-diverse-v0"......)
for ((i=0;i<5;i+=1))
do
for env in ${envs[*]}
do
python main.py
--env $env
--normalize False
--seed $i
done
done
But the normalized scores for last final 10 evaluations and 5 seeds are much lower than the numbers provided in Table 8 inl paper. What's going wrong here? Is there other places I should modify? It would be great to provide how to reproduce Antmaze results. Thanks!
The text was updated successfully, but these errors were encountered:
Hi! I have the same question as a previously closed issue. I wasn't able to reproduce results for Antmaze tasks in Table 8. I made the following adjustments in run_experiments.sh, 1. change envs to Antmaze; 2. make normalize False. The .sh file looks like this:
envs=("antmaze-umaze-v0"
"antmaze-umaze-diverse-v0"......)
for ((i=0;i<5;i+=1))
do
for env in ${envs[*]}
do
python main.py
--env $env
--normalize False
--seed $i
done
done
But the normalized scores for last final 10 evaluations and 5 seeds are much lower than the numbers provided in Table 8 inl paper. What's going wrong here? Is there other places I should modify? It would be great to provide how to reproduce Antmaze results. Thanks!
The text was updated successfully, but these errors were encountered: