Wesley Tansey
Ph.D. Student

I'm a PhD student in the Neural Networks Research Group at UT Austin. My main research interests are machine learning and game theory, particularly how we can use function approximators to scale to games with large state and action spaces. I spend most of my days working on algorithms for discovering Nash equilibria in stochastic, partial-information games like poker.

In a previous life, I was a software engineering researcher working with Eli Tilevich at Virginia Tech, where I got my BS and MS in Computer Science. My Master's thesis focused on inference techniques that learn transformation rules to automatically upgrade legacy applications to use the latest version of a given API.

Accelerating Evolution via Egalitarian Social Learning 2012
Wesley Tansey, Eliana Feasley, and Risto Miikkulainen, Proceedings of the 14th Annual Genetic and Evolutionary Computation Conference (GECCO 2012) (2012).
Multiagent Learning through Neuroevolution 2012
Risto Miikkulainen, Eliana Feasley, Leif Johnson, Igor Karpov, Padmini Rajagopalan, Aditya Rawal, and Wesley Tansey, In Advances in Computational Intelligence, J. Liu et al. (Eds.), Vol. LNCS 7311, pp. 24-46, Berlin, Heidelberg: 2012. Springer.
ESL This is the C# source code for the experiments with Egalitarian Social Learning (ESL) in a robot foraging domain. The re... 2012

Currently affiliated with Neural Networks