Interactive Learning and Decision Making

Interactive Learning and Decision Making: Foundations, Insights & Challenges

Oliehoek, F.A. (TU Delft Interactive Intelligence; University of Liverpool)

2018

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.

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

http://resolver.tudelft.nl/uuid:7c5e999b-8b87-4950-90ec-7ea889124bf3

https://doi.org/10.24963/ijcai.2018/813

International Joint Conferences on Artificial Intelligence (IJCAI)

2018-12-19

Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018

IJCAI 2018, 2018-07-13 → 2018-07-19, Stockholm, Sweden

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-care Otherwise 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.

Institutional Repository

conference paper

© 2018 F.A. Oliehoek