I am a 5th year Artificial Intelligence PhD student at Oregon State University. My interests are in Computer Vision, Natural Language Processing, Reinforcement Learning, and Robotics. I am currently working on eXplainable Artificial Intelligence (XAI).
Matthew Olson, Roli Khanna, Lawrence Neal, Fuxin Li, Weng-Keen Wong. Counterfactual State Explanations for Reinforcement Learning Agents via Generative Deep Learning. Journal of Artificial Intelligence Research, 2021. arxiv
Prachi Rahurkar, Matthew Olson, Prasad Tadepalli. Human Adversarial QA: Did the Model Understand the Paragraph? NeurIPS 2020 Workshop on Human And Model in the Loop Evaluation and Training Strategies. pdf
Andrew Anderson, Jonathan Dodge, Amrita Sadarangani, Zoe Juozapaitis, Evan New-man, Jed Irvine, Souti Chattopadhyay, Matthew Olson, Alan Fern, and Margaret Burnett. Mental models of mere mortals with explanations of reinforcement learning. Transactions on Interactive Intelligent Systems, 2020. pdf
Matthew Olson, Lawrence Neal, Fuxin Li, Weng-Keen Wong. Counterfactual States for Atari Agents via Generative Deep Learning. International Joint Conference on Artificial Intelligence workshop on Explainable AI. Macao, China, August 2019. pdf
Lawrence Neal, Matthew Olson, Weng-Keen Wong, Xiaoli Fern, Fuxin Li. Open Set Learning with Counterfactual Images. Proceedings of the European Conference on Computer Vision (ECCV). 2018. pdf
Arpit Christi, Matthew Olson, Mohammad Amin Alipour, and Alex Groce. Reduce Before You Localize: Delta-Debugging and Spectrum-Based Fault Localization IEEE International Workshop on Debugging and Repair. Memphis, Tennessee, October 2018. pdf