James R. Wright
Orcid: 0000-0002-8601-925X
According to our database1,
James R. Wright
authored at least 37 papers
between 2010 and 2024.
Collaborative distances:
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Bibliography
2024
Model Selection for Average Reward RL with Application to Utility Maximization in Repeated Games.
CoRR, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning (Abstract Reprint).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning.
J. Artif. Intell. Res., 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2023
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
2022
Why Do Software Developers Use Static Analysis Tools? A User-Centered Study of Developer Needs and Motivations.
IEEE Trans. Software Eng., 2022
The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022
2021
Exploiting Action Impact Regularity and Partially Known Models for Offline Reinforcement Learning.
CoRR, 2021
Disinformation, Stochastic Harm, and Costly Filtering: A Principal-Agent Analysis of Regulating Social Media Platforms.
CoRR, 2021
Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Proceedings of the EC '20: The 21st ACM Conference on Economics and Computation, 2020
Incentivizing Evaluation with Peer Prediction and Limited Access to Ground Truth (Extended Abstract).
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Alternative Function Approximation Parameterizations for Solving Games: An Analysis of ƒ-Regression Counterfactual Regret Minimization.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020
2019
Artif. Intell., 2019
2018
2017
Games Econ. Behav., 2017
Proceedings of the 2017 ACM Conference on Economics and Computation, 2017
2016
Incentivizing Evaluation via Limited Access to Ground Truth: Peer-Prediction Makes Things Worse.
CoRR, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
2015
Proceedings of the 46th ACM Technical Symposium on Computer Science Education, 2015
Proceedings of the Advances in Artificial Intelligence, 2015
2014
Proceedings of the ACM Conference on Economics and Computation, 2014
2013
Evaluating, Understanding, and Improving Behavioral Game Theory Models For Predicting Human Behavior in Unrepeated Normal-Form Games.
CoRR, 2013
2012
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012
2011
Linear solvers for nonlinear games: using pivoting algorithms to find Nash equilibria in <i>n</i>-player games.
SIGecom Exch., 2011
2010
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010