IMPORTANT UPDATE: In view of the COVID-19 uncertainty, and in particular the rising number of infections worldwide, FTC 2021 has been moved to a fully virtual conference.

Keynote Speakers

Michael Wooldridge

Michael Wooldridge

University of Oxford

Michael Wooldridge is a Professor of Computer Science and Head of Department of Computer Science at the University of Oxford, and a programme director for AI at the Alan Turing Institute. He has been an AI researcher for more than 30 years, and has published more than 400 scientific articles on the subject, including nine books. He is a Fellow of the Association for Computing Machinery (ACM), the Association for the Advancement of AI (AAAI), and the European Association for AI (EurAI). From 2014-16, he was President of the European Association for AI, and from 2015-17 he was President of the International Joint Conference on AI (IJCAI). In 2021, Wooldridge was announced as a recipient of a five year £4m Turing AI World Leading Research Fellowship from UKRI.


Alex Pentland

Alex Pentland

MIT

Prof. Alex Pentland is co-creator of the MIT Media Lab and the field of Computational Social Science. He was key in discussions that lead to the EU privacy regulations (GDPR) and shaping the UN Sustainable Development Goals. He is a member of the US National Academies, discussion leader for the World Leadership Alliance, and an entrepreneur who has helped create companies that today serve the needs of hundreds of millions of people in the Indo-Pacific area.

Keynote Title: Building a New Economy: Data as Capital


Martin Riedmiller

Martin Riedmiller

DeepMind

Martin Riedmiller is a research scientist and team-lead at DeepMind, London. Before joining DeepMind fulltime in spring 2015, he held several professor positions in machine learning and neuro-informatics from 2002 to 2015 at Dortmund, Osnabrück and Freiburg University. From 1998 to 2009 he lead the robot soccer team ‘Brainstormers’ that participated in the internationally renowned RoboCup competitions. As an early proof of the power of neural reinforcement learning techniques, the Brainstormers won the world championships for five times in both simulation and real robot leagues. He has contributed over 20 years in the fields of reinforcement learning, neural networks and learning control systems. He is author and co-author of some early and ground-lying work on efficient and robust supervised learning and reinforcement learning algorithms, including work on one of the first deep reinforcement learning systems.

Keynote Title: Machines that learn by playing

Abstract: Our research is driven by the question, how intelligent agents can autonomously learn to control complex machines - like robots - when being provided only with minimal prior knowledge. In my talk I will give an overview on the exciting opportunities of Reinforcement Learning methods for control, with a focus on approaches that can learn in very general scenarios in a relatively small amount of interaction time. I will give examples of robots that learn to walk, reach goals or manipulate objects and highlight how we enable our agents to do so.