Aaron Tucker

PhD Student
Cornell University
Aaron Tucker is a first year PhD student in Computer Science at Cornell University. He graduated from Harvard College in 2016, then worked as a software engineer doing antifraud for Sendwave. He has previously interned at UC Berkeley’s Center for Human-Compatible AI researching inverse reinforcement learning, and was a summer fellow at the Centre for the Governance of AI at the University of Oxford.

Publications

Inverse Reinforcement Learning for Video Games
Aaron Tucker, Adam Gleave, Stuart Russell
NeurIPS Deep RL Workshop 2018
pdf

Social and Governance Implications of Improved Data Efficiency
Aaron Tucker, Markus Anderljung, Allan Dafoe
AI Ethics and Society 2020
pdf

Bayesian Latent State Space Models of Neural Activity
Scott W. Linderman, Aaron Tucker, and Matthew J. Johnson
Conference on Systems Neuroscience (CoSyNe) Abstracts 2016
pdf

Teaching

CS 4700: Foundations of Artificial Intelligence
TA Fall 2019

CS 181: Machine Learning
TA Spring 2015