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2018 IJCAI IJCAI 2018

Interactive Learning and Decision Making: Foundations, Insights & Challenges

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.

🌉 Interdisciplinary Bridge — Artificial Intelligence and Machine Learning
📈 Trend Setter — Human-AI Interaction
🧭 Keyword Pioneer — decision-making agent
🐝 Cross-Pollinator — Artificial Intelligence, Deep Learning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning
🐣 Hot Topic Early Bird — decision making

Authors

Frans A. Oliehoek

Topics

Artificial Intelligence > Core AI > Human-AI Interaction Artificial Intelligence > Core AI > Multi-Agent Systems Machine Learning > Optimization & Theory > Learning Theory Machine Learning > Learning Types > Reinforcement Learning

Keywords

interactive learning decision making game ai multi-agent coordination agent system decision-making agent human-agent collaboration multi-agent system
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