What you see is not what you get!: Detecting Simpson's Paradoxes during Data Exploration. - Yue Guo 003; Carsten Binnig; Tim Kraska (HILDA@SIGMOD, 2017)

Policy and Value Transfer in Lifelong Reinforcement Learning. - David Abel; Yuu Jinnai; Yue (Sophie) Guo; George Dimitri Konidaris; Michael L. Littman (ICML, 2018)

Designing Context-Sensitive Norm Inverse Reinforcement Learning Framework for Norm-Compliant Autonomous Agents. - Yue Guo 003; Boshi Wang; Dana Hughes 001; Michael Lewis 001; Katia P. Sycara (RO-MAN, 2020)

Inferring Non-Stationary Human Preferences for Human-Agent Teams. - Dana Hughes 001; Akshat Agarwal; Yue Guo 003; Katia P. Sycara (RO-MAN, 2020)

Transfer Learning for Human Navigation and Triage Strategies Prediction in a Simulated Urban Search and Rescue Task. - Yue Guo 003; Rohit Jena; Dana Hughes 001; Michael Lewis 001; Katia P. Sycara (RO-MAN, 2021)

Introspective Action Advising for Interpretable Transfer Learning. - Joseph Campbell; Yue Guo 003; Fiona Xie; Simon Stepputtis; Katia P. Sycara (CoLLAs, 2023)

Explainable Action Advising for Multi-Agent Reinforcement Learning. - Yue Guo 003; Joseph Campbell; Simon Stepputtis; Ruiyu Li; Dana Hughes 001; Fei Fang 001; Katia P. Sycara (ICRA, 2023)

Explaining Agent Behavior with Large Language Models. - Xijia Zhang; Yue Guo 003; Simon Stepputtis; Katia P. Sycara; Joseph Campbell (CoRR, 2023)

Understanding Your Agent: Leveraging Large Language Models for Behavior Explanation. - Xijia Zhang; Yue Guo 003; Simon Stepputtis; Katia P. Sycara; Joseph Campbell (CoRR, 2023)

Adaptive Action Advising with Different Rewards. - Yue Guo 003; Xijia Zhang; Simon Stepputtis; Joseph Campbell; Katia P. Sycara (CoLLAs, 2024)

Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models. - Muhan Lin; Shuyang Shi; Yue Guo 003; Behdad Chalaki; Vaishnav Tadiparthi; Ehsan Moradi-Pari; Simon Stepputtis; Joseph Campbell; Katia P. Sycara (EMNLP (Findings), 2024)

Enhancing Policy Transfer in Action Advising for Reinforcement Learning - Yue Guo 003 (2024)

Speaking the Language of Teamwork: LLM-Guided Credit Assignment in Multi-Agent Reinforcement Learning. - Muhan Lin; Shuyang Shi; Yue Guo 003; Vaishnav Tadiparthi; Behdad Chalaki; Ehsan Moradi-Pari; Simon Stepputtis; Woojun Kim; Joseph Campbell; Katia P. Sycara (CoRR, 2025)

Model-Agnostic Policy Explanations with Large Language Models. - Zhang Xi-Jia; Yue Guo 003; Shufei Chen; Simon Stepputtis; Matthew C. Gombolay; Katia P. Sycara; Joseph Campbell (CoRR, 2025)