Yue Guo

According to our database, Yue Guo authored at least 10 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models.

Muhan Lin, Shuyang Shi, Yue Guo, Behdad Chalaki, Vaishnav Tadiparthi, Ehsan Moradi-Pari, Simon Stepputtis, Joseph Campbell, Katia P. Sycara

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Understanding Your Agent: Leveraging Large Language Models for Behavior Explanation.

Xijia Zhang, Yue Guo, Simon Stepputtis, Katia P. Sycara, Joseph Campbell

CoRR, 2023

Explaining Agent Behavior with Large Language Models.

Xijia Zhang, Yue Guo, Simon Stepputtis, Katia P. Sycara, Joseph Campbell

CoRR, 2023

Explainable Action Advising for Multi-Agent Reinforcement Learning.

Yue Guo, Joseph Campbell, Simon Stepputtis, Ruiyu Li, Dana Hughes, Fei Fang, Katia P. Sycara

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Introspective Action Advising for Interpretable Transfer Learning.

Joseph Campbell, Yue Guo, Fiona Xie, Simon Stepputtis, Katia P. Sycara

Proceedings of the Conference on Lifelong Learning Agents, 2023

2021

Transfer Learning for Human Navigation and Triage Strategies Prediction in a Simulated Urban Search and Rescue Task.

Yue Guo, Rohit Jena, Dana Hughes, Michael Lewis, Katia P. Sycara

Proceedings of the 30th IEEE International Conference on Robot & Human Interactive Communication, 2021

2020

Inferring Non-Stationary Human Preferences for Human-Agent Teams.

Dana Hughes, Akshat Agarwal, Yue Guo, Katia P. Sycara

Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication, 2020

Designing Context-Sensitive Norm Inverse Reinforcement Learning Framework for Norm-Compliant Autonomous Agents.

Yue Guo, Boshi Wang, Dana Hughes, Michael Lewis, Katia P. Sycara

Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication, 2020

2018

Policy and Value Transfer in Lifelong Reinforcement Learning.

David Abel, Yuu Jinnai, Yue (Sophie) Guo, George Dimitri Konidaris, Michael L. Littman

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

What you see is not what you get!: Detecting Simpson's Paradoxes during Data Exploration.

Yue Guo, Carsten Binnig, Tim Kraska

Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics, 2017