It seems wait is enough to let the model complete the task

[hrwise-nlp]

I recently ran several RL experiments using this environment, but I found that my policy model tends to output the wait action repeatedly. In the current setup, a single wait action advances the environment by 10 iterations/steps, and if the agent performs more than 10 consecutive waits, the environment automatically considers the task completed.

I’m trying to understand how to address this issue. How can I prevent the model from overusing the wait action or adjust the environment so this doesn’t prematurely end the task?

[MarcCote]

Can you share the exact task id and variation id? Also, is the environment terminating because of reaching max steps or the task is being completed, i.e., obtaining a score of 100?