Lin Guan - RankMe

24 papers A* 9A 1Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	"Task Success" is not Enough: Investigating the Use of Video-Language Models as Behavior Critics for Catching Undesirable Agent Behaviors. CoRR Lin Guan, Yifan Zhou, Denis Liu, Yantian Zha, Heni Ben Amor, Subbarao Kambhampati
2024	J	`jnl`	LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks. CoRR Subbarao Kambhampati, Karthik Valmeekam, Lin Guan, Kaya Stechly, Mudit Verma, Siddhant Bhambri, Lucas Saldyt, Anil Murthy
2024	A*	`conf`	Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning. AAAI Yantian Zha, Lin Guan, Subbarao Kambhampati
2024	—	`conf`	On the Pitfalls of Learning to Cooperate with Self Play Agents Checkpointed to Capture Humans of Diverse Skill Levels. HRI (Companion) Upasana Biswas, Lin Guan, Subbarao Kambhampati
2024	A*	`conf`	Position: LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks. ICML Subbarao Kambhampati, Karthik Valmeekam, Lin Guan, Mudit Verma, Kaya Stechly, Siddhant Bhambri, Lucas Saldyt, Anil Murthy
2024	J	`jnl`	Robust Planning with LLM-Modulo Framework: Case Study in Travel Planning. CoRR Atharva Gundawar, Mudit Verma, Lin Guan, Karthik Valmeekam, Siddhant Bhambri, Subbarao Kambhampati
2023	A*	`conf`	Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning. NeurIPS Lin Guan, Karthik Valmeekam, Sarath Sreedharan, Subbarao Kambhampati
2023	J	`jnl`	Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning. CoRR Lin Guan, Karthik Valmeekam, Sarath Sreedharan, Subbarao Kambhampati
2023	A*	`conf`	Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences. ICLR Lin Guan, Karthik Valmeekam, Subbarao Kambhampati
2022	A*	`conf`	Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity. ICML Lin Guan, Sarath Sreedharan, Subbarao Kambhampati
2022	J	`jnl`	Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity. CoRR Lin Guan, Sarath Sreedharan, Subbarao Kambhampati
2022	J	`jnl`	Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences. CoRR Lin Guan, Karthik Valmeekam, Subbarao Kambhampati
2022	A*	`conf`	Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems. AAAI Subbarao Kambhampati, Sarath Sreedharan, Mudit Verma, Yantian Zha, Lin Guan
2022	J	`jnl`	Towards customizable reinforcement learning agents: Enabling preference specification through online vocabulary expansion. CoRR Utkarsh Soni, Sarath Sreedharan, Mudit Verma, Lin Guan, Matthew Marquez, Subbarao Kambhampati
2021	A	`conf`	Contrastively Learning Visual Attention as Affordance Cues from Demonstrations for Robotic Grasping. IROS Yantian Zha, Siddhant Bhambri, Lin Guan
2021	J	`jnl`	Contrastively Learning Visual Attention as Affordance Cues from Demonstrations for Robotic Grasping. CoRR Yantian Zha, Siddhant Bhambri, Lin Guan
2021	J	`jnl`	Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning. CoRR Yantian Zha, Lin Guan, Subbarao Kambhampati
2021	J	`jnl`	Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems. CoRR Subbarao Kambhampati, Sarath Sreedharan, Mudit Verma, Yantian Zha, Lin Guan
2021	A*	`conf`	Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation. NeurIPS Lin Guan, Mudit Verma, Sihang Guo, Ruohan Zhang, Subbarao Kambhampati
2020	A*	`conf`	Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset. AAAI Ruohan Zhang, Calen Walshe, Zhuode Liu, Lin Guan, Karl S. Muller, Jake Alden Whritner, Luxin Zhang, Mary M. Hayhoe, Dana H. Ballard
2020	J	`jnl`	Explanation Augmented Feedback in Human-in-the-Loop Reinforcement Learning. CoRR Lin Guan, Mudit Verma, Subbarao Kambhampati
2019	J	`jnl`	Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset. CoRR Ruohan Zhang, Zhuode Liu, Lin Guan, Luxin Zhang, Mary M. Hayhoe, Dana H. Ballard
2019	A*	`conf`	Leveraging Human Guidance for Deep Reinforcement Learning Tasks. IJCAI Ruohan Zhang, Faraz Torabi, Lin Guan, Dana H. Ballard, Peter Stone
2019	J	`jnl`	Leveraging Human Guidance for Deep Reinforcement Learning Tasks. CoRR Ruohan Zhang, Faraz Torabi, Lin Guan, Dana H. Ballard, Peter Stone