Lin Guan

Researcher, Meta

Joined

October 2020

Names

Lin Guan (Preferred)

Emails

****@asu.edu (Confirmed)

****@meta.com (Confirmed)

****@asu.edu (Confirmed)

Personal Links

Homepage

Google Scholar

Semantic Scholar

Career & Education History

Researcher

Meta (meta.com)

2024 – Present

PhD student

Arizona State University (asu.edu)

2019 – 2024

Undergrad student

University of Texas, Austin (utexas.edu)

2016 – 2019

Advisors, Relations & Conflicts

PhD Advisor

Subbarao Kambhampati

2019 – 2024

Expertise

Reinforcement Learning

Present

Human-AI Interaction

Present

Planning

Present

Reinforcement Learning from Human Feedback

Present

Publications

Paying Less Generalization Tax: A Cross-Domain Generalization Study of RL Training for LLM Agents
Zhihan Liu, Lin Guan, Yixin Nie, Kai Zhang, Zoey Hao, Lin Chen, Asli Celikyilmaz, Zhaoran Wang, Na Zhang
- LLA 2026 Poster
- Readers: Everyone
Extracting Heuristics from Large Language Models for Reward Shaping in Reinforcement Learning
Siddhant Bhambri, Amrita Bhattacharjee, Durgesh Kalwar, Lin Guan, huan liu, Subbarao Kambhampati
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Task Success is not Enough: Investigating the Use of Video-Language Models as Behavior Critics for Catching Undesirable Agent Behaviors
Lin Guan, Yifan Zhou, Denis Liu, Yantian Zha, Heni Ben Amor, Subbarao Kambhampati
- COLM
- Readers: Everyone
Position: LLMs Can’t Plan, But Can Help Planning in LLM-Modulo Frameworks
Subbarao Kambhampati, Karthik Valmeekam, Lin Guan, Mudit Verma, Kaya Stechly, Siddhant Bhambri, Lucas Paul Saldyt, Anil B Murthy
- ICML 2024 Spotlight
- Readers: Everyone
Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences
Lin Guan, Karthik Valmeekam, Subbarao Kambhampati
- ILHF Workshop ICML 2023
- Readers: Everyone
Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning
Lin Guan, Karthik Valmeekam, Sarath Sreedharan, Subbarao Kambhampati
- NeurIPS 2023 poster
- Readers: Everyone
Leveraging Human Guidance for Deep Reinforcement Learning Tasks
Ruohan Zhang, Faraz Torabi, Lin Guan, Dana Ballard, Peter Stone
- 26 Dec 2022
- OpenReview Archive Direct Upload
- Readers: Everyone
Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity
Lin Guan, Sarath Sreedharan, Subbarao Kambhampati
- 26 Dec 2022
- OpenReview Archive Direct Upload
- Readers: Everyone
Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences
Lin Guan, Karthik Valmeekam, Subbarao Kambhampati
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- ICLR 2023 poster
- Readers: Everyone
Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation
Lin Guan, Mudit Verma, Sihang Guo, Ruohan Zhang, Subbarao Kambhampati
- Published: 09 Nov 2021, Last Modified: 05 May 2023
- NeurIPS 2021 Spotlight
- Readers: Everyone

Co-Authors

View all 28 co-authors