Projects funded by the NCN
Thinking Far Ahead: Long-horizon planning using deep model-based reinforcement learning
2020/37/N/ST6/04113
Keywords:
reinforcement learning deep learning planning
Descriptors:
- ST6_7: Artificial intelligence, intelligent systems, multi-agent systems
- ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
Panel:
ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems
Host institution :
Uniwersytet Warszawski, Wydział Matematyki, Informatyki i Mechaniki
woj.
Principal investigator (from the host institution):
Number of co-investigators in the project: 2
Call: PRELUDIUM 19 - announced on 2020-03-16
Amount awarded: 82 560 PLN
Project start date (Y-m-d): 2021-02-04
Project end date (Y-m-d): 2023-02-03
Project duration:: 24 months (the same as in the proposal)
Project status: Project settled
Project description
Download the project description in a pdf file
Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.
Information in the final report
- Articles in post-conference publications (2)
- Planning and Learning Using Adaptive Entropy Tree SearchAuthors:Piotr Kozakowski, Mikołaj Pacek, Piotr MiłośConference:2022 International Joint Conference on Neural Networks (IJCNN) (rok: 2022, tom: 2022 International Joint Conference on Neural Networks (IJCNN), strony: 7), Wydawca: Institute of Electrical and Electronics Engineers (IEEE)Data:konferencja 18-23 lipca 2022Status:PublishedDOI:10.1109/IJCNN55064.2022.9892556 - link to the publication
- Planning and Learning using Adaptive Entropy Tree SearchAuthors:Piotr Kozakowski, Mikołaj Pacek, Piotr MiłośConference:2022 International Joint Conference on Neural Networks (tom: IJCNN, strony: 7), Wydawca: Institute of Electrical and Electronics Engineers (IEEE)Data:konferencja 18-23 lipca 2022Status:Submitted