We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Hello,
This benchmark is very nice. But when I want to use it, I find some confusing parts in the code.
For example, in line 221 of paper.py, the code is:
retrace = Retrace(behavior_data, gamma, lamb=.9, max_iters=50) out0, Q, mapping = retrace.run(pi_b, pi_e, 'retrace', epsilon=.002)
However, in the implementation of the Retrace class (which is located at algos.retrace_lambda.py), the init function is:
def init(self, method, lamb) -> None:
and there is not a function called run in this class.
There are many similar mismatches in this benchmark (like other algo classes), so I want to know whether you could fix this problem.
Best Regards Pengjie
The text was updated successfully, but these errors were encountered:
Please try paper.py on the paper branch. The current master branch has been nearly entirely refactored
Sorry, something went wrong.
No branches or pull requests
Hello,
This benchmark is very nice. But when I want to use it, I find some confusing parts in the code.
For example, in line 221 of paper.py, the code is:
retrace = Retrace(behavior_data, gamma, lamb=.9, max_iters=50)
out0, Q, mapping = retrace.run(pi_b, pi_e, 'retrace', epsilon=.002)
However, in the implementation of the Retrace class (which is located at algos.retrace_lambda.py), the init function is:
def init(self, method, lamb) -> None:
and there is not a function called run in this class.
There are many similar mismatches in this benchmark (like other algo classes), so I want to know whether you could fix this problem.
Best Regards
Pengjie
The text was updated successfully, but these errors were encountered: