Update README.md

README.md

@@ -56,7 +56,7 @@ There are applications with each of the ability the model provides:
 
 - with 1, the model can be considered to give a pretrained representation for the task you want to apply on.
 - with 2, the model can be treated as a virtual environment to replace the real environment for interaction, which is typically useful for model-based reinforcement learning.
-- with 3, the model can be used to infer the actions given the observations with the AIME and AIME-v2 algorithms as proposed in our papers. Moreover, the model can estimate the similarity level between the given sequences and the sequences that it is trained on, and this abality is used in VIPER models.
+- with 3, the model can be used to infer the actions given the observations with the AIME and AIME-NoB algorithms as proposed in our papers. Moreover, the model can estimate the similarity level between the given sequences and the sequences that it is trained on, and this abality is used in VIPER models.
 
 ### Out-of-Scope Use