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ORCIDLin Guan 0003
Person information
- affiliation: Arizona State University, Tempe, AZ, USA
Other persons with the same name
- Lin Guan — disambiguation page
- Lin Guan 0001
![[0000-0003-4781-7168]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-4781-7168")
— Loughborough University, Loughborough, UK - Lin Guan 0002 — South China University of Technology, Guangzhou, China
- Lin Guan 0004 — Beijing Anding Hospital, Capital Medical University, Beijing, China
- Lin Guan 0005 — Kuaishou Technology, Beijing, China
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2020 – today
- 2024
[c11]Yantian Zha, Lin Guan, Subbarao Kambhampati:
Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning. AAAI 2024: 10395-10403- [c10]Upasana Biswas, Lin Guan, Subbarao Kambhampati:
On the Pitfalls of Learning to Cooperate with Self Play Agents Checkpointed to Capture Humans of Diverse Skill Levels. HRI (Companion) 2024: 252-256 - [c9]Subbarao Kambhampati, Karthik Valmeekam, Lin Guan, Mudit Verma, Kaya Stechly, Siddhant Bhambri, Lucas Saldyt, Anil Murthy:
Position: LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks. ICML 2024 - [i13]Subbarao Kambhampati, Karthik Valmeekam, Lin Guan, Kaya Stechly, Mudit Verma, Siddhant Bhambri, Lucas Saldyt, Anil Murthy:
LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks. CoRR abs/2402.01817 (2024) - [i12]Lin Guan, Yifan Zhou, Denis Liu, Yantian Zha, Heni Ben Amor, Subbarao Kambhampati:
"Task Success" is not Enough: Investigating the Use of Video-Language Models as Behavior Critics for Catching Undesirable Agent Behaviors. CoRR abs/2402.04210 (2024) - [i11]Atharva Gundawar, Mudit Verma, Lin Guan, Karthik Valmeekam, Siddhant Bhambri, Subbarao Kambhampati:
Robust Planning with LLM-Modulo Framework: Case Study in Travel Planning. CoRR abs/2405.20625 (2024) - 2023
- [c8]Lin Guan, Karthik Valmeekam, Subbarao Kambhampati:
Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences. ICLR 2023 - [c7]Lin Guan, Karthik Valmeekam, Sarath Sreedharan, Subbarao Kambhampati:
Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning. NeurIPS 2023 - [i10]Lin Guan, Karthik Valmeekam, Sarath Sreedharan, Subbarao Kambhampati:
Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning. CoRR abs/2305.14909 (2023) - 2022
- [c6]Subbarao Kambhampati, Sarath Sreedharan, Mudit Verma, Yantian Zha, Lin Guan:
Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems. AAAI 2022: 12262-12267 - [c5]Lin Guan, Sarath Sreedharan, Subbarao Kambhampati:
Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity. ICML 2022: 7949-7967 - [i9]Lin Guan, Sarath Sreedharan, Subbarao Kambhampati:
Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity. CoRR abs/2202.02886 (2022) - [i8]Utkarsh Soni, Sarath Sreedharan, Mudit Verma, Lin Guan, Matthew Marquez, Subbarao Kambhampati:
Towards customizable reinforcement learning agents: Enabling preference specification through online vocabulary expansion. CoRR abs/2210.15096 (2022) - [i7]Lin Guan, Karthik Valmeekam, Subbarao Kambhampati:
Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences. CoRR abs/2210.15906 (2022) - 2021
- [c4]Yantian Zha, Siddhant Bhambri, Lin Guan:
Contrastively Learning Visual Attention as Affordance Cues from Demonstrations for Robotic Grasping. IROS 2021: 7835-7842 - [c3]Lin Guan, Mudit Verma, Sihang Guo, Ruohan Zhang, Subbarao Kambhampati:
Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation. NeurIPS 2021: 21885-21897 - [i6]Yantian Zha, Siddhant Bhambri, Lin Guan:
Contrastively Learning Visual Attention as Affordance Cues from Demonstrations for Robotic Grasping. CoRR abs/2104.00878 (2021) - [i5]Subbarao Kambhampati, Sarath Sreedharan, Mudit Verma, Yantian Zha, Lin Guan:
Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems. CoRR abs/2109.09904 (2021) - [i4]Yantian Zha, Lin Guan, Subbarao Kambhampati:
Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning. CoRR abs/2110.05286 (2021) - 2020
- [c2]Ruohan Zhang, Calen Walshe, Zhuode Liu, Lin Guan, Karl S. Muller, Jake Alden Whritner, Luxin Zhang, Mary M. Hayhoe, Dana H. Ballard:
Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset. AAAI 2020: 6811-6820 - [i3]Lin Guan, Mudit Verma, Subbarao Kambhampati:
Explanation Augmented Feedback in Human-in-the-Loop Reinforcement Learning. CoRR abs/2006.14804 (2020)
2010 – 2019
- 2019
- [c1]Ruohan Zhang, Faraz Torabi, Lin Guan, Dana H. Ballard, Peter Stone:
Leveraging Human Guidance for Deep Reinforcement Learning Tasks. IJCAI 2019: 6339-6346 - [i2]Ruohan Zhang, Zhuode Liu, Lin Guan, Luxin Zhang, Mary M. Hayhoe, Dana H. Ballard:
Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset. CoRR abs/1903.06754 (2019) - [i1]Ruohan Zhang, Faraz Torabi, Lin Guan, Dana H. Ballard, Peter Stone:
Leveraging Human Guidance for Deep Reinforcement Learning Tasks. CoRR abs/1909.09906 (2019)
Coauthor Index
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