Return and cost are constant as the number of training rounds increases

[ZhengyeHan]

After running train__cdt.py successfully with my own env，results are as follows:

it's strange that return and cost are constant as the number of training rounds increases.May you tell me what cause this problem?

[ZhengyeHan]

Sorry, I solved this issue by adjusting it in the env reset（） function, please delete this issue