Stefano V. Albrecht

Stefano V. Albrecht

Address

Informatics Forum, 2.06
10 Crichton Street
Edinburgh EH8 9AB
United Kingdom

Contact

ku.ca.de@thcerbla.s
svalbrecht.de

News

About

I am a Lecturer (Assistant Professor) in Artificial Intelligence in the School of Informatics at The University of Edinburgh, where I am affiliated with the Centre for Intelligent Systems and their Applications and the Edinburgh Centre for Robotics. I also consult for science and technology organisations, including DARPA and FiveAI.

My research interests are in the areas of autonomous agents, multi-agent systems, machine/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 dynamic environments. This involves a number of challenging problems, including efficient learning and adaptation in the presence of uncertainty as well as inference and planning in complex, dynamically changing environments.

See publications for more details.

Students

Fully-funded PhD position for UK/EU candidate in Autonomous Agents and Multi-Agent Systems

I am looking for talented students who have a keen interest in autonomous systems and want to work on challenging research problems. Top grades, excellent programming skills, and the ability to work independently are essential.

If you need inspiration for research topics, take a look at this recent survey and its section on open problems, as well as this tutorial. Feel free to contact me if you want to discuss research ideas.

For a list of PhD funding sources, see here.

Teaching

Publications

Working papers: Journals: Conferences: Workshops: Magazines:

Software

As a student at TU Darmstadt, I wrote an open-source Matlab toolbox for Support Vector Machines (SVMs). The toolbox supports both inductive and transductive SVMs, multi-class classification, automatic parameter optimisation, and includes a demo function with 2D visualisation. See the manual for more details.
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