New MIT Press textbook: Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
Dr. Stefano V. Albrecht
Contact: ste|.|albre|at|
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My research interests are in the areas of autonomous agents, multi-agent interaction, reinforcement learning, and game theory, with a focus on sequential decision making under uncertainty. The long-term goal of my research is to create intelligent autonomous agents capable of robust interaction with other agents to accomplish tasks in complex environments.
Previously, I was a postdoctoral fellow at the University of Texas at Austin in Peter Stone's group. I obtained PhD and MSc degrees in Artificial Intelligence from the University of Edinburgh, and a BSc degree in Computer Science from Technical University of Darmstadt. I received personal fellowships from the Royal Academy of Engineering, the Royal Society, the Alexander von Humboldt Foundation, and the German Academic Scholarship Foundation (Studienstiftung). In 2022, I was honoured to be nominated for the IJCAI Computers and Thought Award.
Google Scholar | Google Patents
Teaching
I am co-author of the MIT Press textbook Multi-Agent Reinforcement Learning: Foundations and Modern Approaches with Filippos Christianos and Lukas Schäfer.
Lecture recordings from a summer school based on the book are now available online.
I am accredited as Fellow of the Higher Education Academy.
Students
I am always looking for talented students who have a deep interest in autonomous systems and want to work on challenging research problems. If you are looking for potential research topics, see our surveys on multi-agent reinforcement learning, agents modelling other agents, and ad hoc teamwork. Feel free to contact me if you would like to discuss research ideas. I am more likely to reply if your message includes concrete ideas for research projects.