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Alex Gajewski

Alex Gajewski
1 BLOG ARTICLES 1 RESEARCH PAPERS
Alex Gajewski is a third-year undergrad at Columbia University studying math and computer science, and was as a summer 2018 intern with Uber AI. He is excited by the potential of emerging technologies like machine learning to change the ways we interact with each other and ourselves.

Engineering Blog Articles

Introducing EvoGrad: A Lightweight Library for Gradient-Based Evolution

Uber AI Labs releases EvoGrad, a library for catalyzing gradient-based evolution research, and Evolvability ES, a new meta-learning algorithm enabled by this library.

Research Papers

Evolvability ES: Scalable and Direct Optimization of Evolvability

A. Gajewski, J. Clune, K. O. Stanley, J. Lehman
Designing evolutionary algorithms capable of uncovering highly evolvable representations is an open challenge; such evolvability is important because it accelerates evolution and enables fast adaptation to changing circumstances. This paper introduces evolvability ES, an evolutionary algorithm designed to explicitly and efficiently optimize for evolvability, i.e. the ability to further adapt. [...] [PDF]
The Genetic and Evolutionary Computation Conference (GECCO), 2019

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