Martin Riedmiller

Martin Riedmiller is Chief AI Officer at Vesoma, a humanoid robotics company he joined after serving as Research Director and Control Team Lead at Google DeepMind. He is best known for foundational contributions to reinforcement learning, including co-authoring the landmark DQN paper on human-level control through deep reinforcement learning and pioneering data-efficient RL methods such as Neural Fitted Q Iteration. He previously held professorships in machine learning and neuroinformatics at the Universities of Dortmund, Osnabrück, and Freiburg, and led the award-winning Brainstormers RoboCup teams.