| 2026 | AAAI | ElementaryNet: A Non-Strategic Neural Network for Predicting Human Behavior in Normal-Form Games. | Greg d'Eon, Hala Murad, Kevin Leyton-Brown, James R. Wright |
| 2024 | AAAI | How to Evaluate Behavioral Models. | Greg d'Eon, Sophie Greenwood, Kevin Leyton-Brown, James R. Wright |
| 2024 | AAAI | Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning (Abstract Reprint). | Vincent Liu, James R. Wright, Martha White |
| 2021 | AAAI | Hindsight and Sequential Rationality of Correlated Play. | Dustin Morrill, Ryan D'Orazio, Reca Sarfati, Marc Lanctot, James R. Wright, Amy R. Greenwald, Michael Bowling |
| 2021 | ICML | Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games. | Dustin Morrill, Ryan D'Orazio, Marc Lanctot, James R. Wright, Michael Bowling, Amy R. Greenwald |
| 2020 | IJCAI | Incentivizing Evaluation with Peer Prediction and Limited Access to Ground Truth (Extended Abstract). | Xi Alice Gao, James R. Wright, Kevin Leyton-Brown |
| 2015 | AI | Behavioural Game Theory: Predictive Models and Mechanisms. | James R. Wright |
| 2015 | SIGCSE | Mechanical TA: Partially Automated High-Stakes Peer Grading. | James R. Wright, Chris Thornton, Kevin Leyton-Brown |
| 2012 | AAMAS | Behavioral game theoretic models: a Bayesian framework for parameter analysis. | James R. Wright, Kevin Leyton-Brown |
| 2010 | AAAI | Beyond Equilibrium: Predicting Human Behavior in Normal-Form Games. | James R. Wright, Kevin Leyton-Brown |