Selected Publications

Proposed a variant of the Metropolis-Hastings sampling algorithm as a rational process model for causal inference across a wide variety of tasks.
Under review, 2018

We present a formal system of causal relationships using Ornstein-Uhlenbeck processes, finding that people use limited representations to deal with the vastly denser information flow.
In CogSci Proceedings, 2018

Developed a testbed for complex dynamic control tasks, finding that people’s behavior closely matched the predictions of an optimal controller and deep-Q network.
In CogSci Proceedings, 2018