This commit is contained in:
omahs
2025-05-05 10:35:32 +02:00
committed by GitHub
parent ee5525fea1
commit 8cfab38824
17 changed files with 33 additions and 33 deletions

View File

@@ -13,7 +13,7 @@
# limitations under the License.
"""
This scripts demonstrates how to evaluate a pretrained policy from the HuggingFace Hub or from your local
This script demonstrates how to evaluate a pretrained policy from the HuggingFace Hub or from your local
training outputs directory. In the latter case, you might want to run examples/3_train_policy.py first.
It requires the installation of the 'gym_pusht' simulation environment. Install it by running:
@@ -119,7 +119,7 @@ while not done:
rewards.append(reward)
frames.append(env.render())
# The rollout is considered done when the success state is reach (i.e. terminated is True),
# The rollout is considered done when the success state is reached (i.e. terminated is True),
# or the maximum number of iterations is reached (i.e. truncated is True)
done = terminated | truncated | done
step += 1