Sabbioni, Luca
Corda, Francesco
Restelli, Marcello
Chapter History
First Online: 18 September 2023
Ethical Statement
: Hyperparameter selection for policy-based algorithms has a significant impact on the ability to learn a highly performing policy in RL, especially with heterogeneous tasks, where different contexts may require different solutions. Our approach shows that it is possible to learn an automatic selection of the best configurations that can be identified after a manual fine-tuning of the parameters. Consequently, our work can be seen as a further step in the AutoML direction, in which a practitioner could run the algorithm and, with some guidance, obtain optimal performance in just a few steps without the need for manual fine-tuning. Beyond this, we are not aware of any societal consequences of our work, such as welfare, fairness, or privacy.
Conference Information
Conference Acronym: ECML PKDD
Conference Name: Joint European Conference on Machine Learning and Knowledge Discovery in Databases
Conference City: Turin
Conference Country: Italy
Conference Year: 2023
Conference Start Date: 18 September 2023
Conference End Date: 22 September 2023
Conference Number: 23
Conference ID: ecml2023
Conference URL: https://2023.ecmlpkdd.org/
Peer Review Information (provided by the conference organizers)
Type: Double-blind
Conference Management System: CMT
Number of Submissions Sent for Review: 829
Number of Full Papers Accepted: 196
Number of Short Papers Accepted: 0
Acceptance Rate of Full Papers: 24% - The value is computed by the equation "Number of Full Papers Accepted / Number of Submissions Sent for Review * 100" and then rounded to a whole number.
Average Number of Reviews per Paper: 3.63
Average Number of Papers per Reviewer: 4.5
External Reviewers Involved: Yes
Additional Info on Review Process: Applied Data Science Track: 239 submissions, 58 accepted papers; Demo Track: 31 submissions, 16 accepted papers.