Skip to content
New issue

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

Issues encountered during replication of IROS2016 results #1

Open
clematisation opened this issue Jan 15, 2021 · 0 comments
Open

Issues encountered during replication of IROS2016 results #1

clematisation opened this issue Jan 15, 2021 · 0 comments

Comments

@clematisation
Copy link

Here are some issues my classmates and I encountered during our replication of your results. We installed the explauto library, and imported the following modules: "environment.py" (https://github.com/flowersteam/Unsupervised_Goal_Space_Learning/blob/master/src/environments.py) and "learning_module.py" (https://github.com/sebastien-forestier/ExplorationAlgorithms/blob/master/learning_module.py). It confused us at first, as we expected these modules to be part of the explauto library. Then, several bugs occurred when we ran the code:

  • functions "compute_explo" and "prop_choice" are not defined; they do not seem to be part of explauto either. Where can they be imported from?

  • "learning_module.py" calls class "MiscRandomInterest" of module "random.py" (explauto > interest_model), assigning 7 arguments ("conf", "expl_dim", "competence_measure", "win_size", "competence_mode", "k", "progress_mode"), whereas "MiscRandomInterest" takes only 4 arguments ("conf", "expl_dim", "competence_measure", "win_size").

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant