Oliver Friedmann | |
Nationality: | German |
Known For: | Lower bounds on Parity game algorithms |
Occupation: | CTO, Computer scientist |
Oliver Friedmann is a German computer scientist and mathematician known for his work on parity games and the simplex algorithm.[1]
Friedmann earned his doctorate's degree from the Ludwig Maximilian University of Munich in 2011 under the supervision of Martin Hofmann and Martin Lange.
He won the Kleene Award[2] for showing that state-of-the-art policy iteration algorithms for parity games require exponential time in the worst case.[3] He and his coauthors extended the proof techniques to the simplex algorithm and to policy iteration for Markov decision processes.[4] His seminal body of work on lower bounds in convex optimization, leading to a sub-exponential lower bound[5] for Zadeh's rule, was awarded with the Tucker Prize.[6]