Oliver Friedmann | |
|---|---|
| Education | Ludwig Maximilian University of Munich (Diploma and Doctorate) |
| Occupations | CTO, Computer scientist |
| Known for | Lower bounds on Parity game algorithms |
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. [2]
He won the Kleene Award [3] for showing that state-of-the-art policy iteration algorithms for parity games require exponential time in the worst case. [4] He and his coauthors extended the proof techniques to the simplex algorithm and to policy iteration for Markov decision processes. [5] His seminal body of work on lower bounds in convex optimization, leading to a sub-exponential lower bound [6] for Zadeh's rule, was awarded with the Tucker Prize. [7]