Jason Zhi Liang
Masters Alumni, Ph.D. Student
Jason's work focuses on bilevel optimization, i.e. evolving the parameters of an evolutionary optimization algorithm. He has applied this approach to evolution of neural networks in control tasks as well as in optimization benchmark tasks with good results.
Bilevel Optimization of the Helicopter Hovering Control TaskJason Zhi Liang and Risto Miikkulainen2015
{UT} {A}ustin {V}illa: {R}obo{C}up 2015 3{D} Simulation League Competition and Technical Challenges Champions Patrick MacAlpine and Josiah Hanna and Jason Liang and Peter Stone In Luis Almeida and Jianmin Ji and Gerald Steinbauer and Sean Luke, editors, {R}obo{C}up-2015: Ro... 2016

Evolutionary Bilevel Optimization for Complex Control Problems and Blackbox Function Optimization Jason Zhi Liang Masters Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, Texas, 2... 2015

Evolutionary Bilevel Optimization for Complex Control Tasks Jason Zhi Liang, Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2015), 8, Madrid... 2015