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.
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
