Abstract
Designing "teams of intelligent agents that successfully coordinate and learn about their complex environments inhabited by other agents (such as humans)" is one of the major goals of AI, and it is the challenge that I aim to address in my research. In this paper I give an overview of some of the foundations, insights and challenges in this field of Interactive Learning and Decision Making.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018 |
| Publisher | International Joint Conferences on Artificial Intelligence (IJCAI) |
| Pages | 5703-5708 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2018 |
| Event | IJCAI 2018: 27th International Joint Conference on Artificial Intelligence - Stockholm, Sweden Duration: 13 Jul 2018 → 19 Jul 2018 Conference number: 27 https://www.ijcai.org/ |
Conference
| Conference | IJCAI 2018 |
|---|---|
| Country/Territory | Sweden |
| City | Stockholm |
| Period | 13/07/18 → 19/07/18 |
| Internet address |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Keywords
- Agent-based and Multi-agent Systems: Multi-agent Learning
- Agent-based and Multi-agent Systems: Multi-agent Planning
- Machine Learning: Reinforcement Learning
- Planning and Scheduling: Planning under Uncertainty