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Martin Riedmiller
Research Director at Google DeepMind
Martin Riedmiller is a prominent figure in the field of artificial intelligence and machine learning, currently serving as a Research Director and Lead of the Controls Team at Google DeepMind.4 His career spans academia and industry, with a focus on advancing AI through deep reinforcement learning.2
Academic Background
Riedmiller holds a Ph.D. in Computer Science from the University of Karlsruhe, where he also completed his Diplom Informatiker. His academic journey began with his Abitur at Gymnasium Spaichingen.3
Professional Experience
- Google DeepMind: Joined as a Research Scientist in April 2015, later becoming a Research Director.34
- University Professor: Held positions at the University of Freiburg (2009-2015), University of Osnabrueck (2003-2009), and University of Dortmund (2002-2003).3
- Entrepreneurship: Co-founded Cognit - Lab for learning machines GmbH, serving as a Scientific Consultant from 2010 to 2015.3
Research Interests
Riedmiller's core scientific interest lies in intelligent machines capable of autonomous learning from scratch, with a particular focus on neural networks as mathematical brain models.14 He has made significant contributions to:
- Reinforcement learning algorithms
- Neural forecasting systems for self-driving cars
- Data-efficient reinforcement learning methods
Notable Achievements
- Pioneered neural forecasting systems for financial trading and sales rate prediction.4
- Led the Brainstormers robotic soccer team to five RoboCup World Championship victories.4
- Developed influential algorithms such as Neural Fitted Q Iteration (NFQ) and Deep Fitted Q (DFQ).4
Riedmiller's work continues to push the boundaries of AI capabilities, making him a leading figure in the quest to build AI systems that can learn and adapt to complex environments.5




