Leveraging Human Guidance for Deep Reinforcement Learning Tasks. - Ruohan Zhang; Faraz Torabi; Lin Guan 003; Dana H. Ballard; Peter Stone 001 (IJCAI, 2019)

Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset. - Ruohan Zhang; Zhuode Liu; Lin Guan 003; Luxin Zhang; Mary M. Hayhoe; Dana H. Ballard (CoRR, 2019)

Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset. - Ruohan Zhang; Calen Walshe; Zhuode Liu; Lin Guan 003; Karl S. Muller; Jake Alden Whritner; Luxin Zhang; Mary M. Hayhoe; Dana H. Ballard (AAAI, 2020)

Explanation Augmented Feedback in Human-in-the-Loop Reinforcement Learning. - Lin Guan 003; Mudit Verma; Subbarao Kambhampati (CoRR, 2020)

Contrastively Learning Visual Attention as Affordance Cues from Demonstrations for Robotic Grasping. - Yantian Zha; Siddhant Bhambri; Lin Guan 003 (IROS, 2021)

Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation. - Lin Guan 003; Mudit Verma; Sihang Guo; Ruohan Zhang; Subbarao Kambhampati (NeurIPS, 2021)

Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems. - Subbarao Kambhampati; Sarath Sreedharan; Mudit Verma; Yantian Zha; Lin Guan 003 (AAAI, 2022)

Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity. - Lin Guan 003; Sarath Sreedharan; Subbarao Kambhampati (ICML, 2022)

Towards customizable reinforcement learning agents: Enabling preference specification through online vocabulary expansion. - Utkarsh Soni; Sarath Sreedharan; Mudit Verma; Lin Guan 003; Matthew Marquez; Subbarao Kambhampati (CoRR, 2022)

Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences. - Lin Guan 003; Karthik Valmeekam; Subbarao Kambhampati (ICLR, 2023)

Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning. - Lin Guan 003; Karthik Valmeekam; Sarath Sreedharan; Subbarao Kambhampati (NeurIPS, 2023)

Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning. - Yantian Zha; Lin Guan 003; Subbarao Kambhampati (AAAI, 2024)

On the Pitfalls of Learning to Cooperate with Self Play Agents Checkpointed to Capture Humans of Diverse Skill Levels. - Upasana Biswas; Lin Guan 003; Subbarao Kambhampati (HRI (Companion), 2024)

Position: LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks. - Subbarao Kambhampati; Karthik Valmeekam; Lin Guan 003; Mudit Verma; Kaya Stechly; Siddhant Bhambri; Lucas Saldyt; Anil Murthy (ICML, 2024)

LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks. - Subbarao Kambhampati; Karthik Valmeekam; Lin Guan 003; Kaya Stechly; Mudit Verma; Siddhant Bhambri; Lucas Saldyt; Anil Murthy (CoRR, 2024)

"Task Success" is not Enough: Investigating the Use of Video-Language Models as Behavior Critics for Catching Undesirable Agent Behaviors. - Lin Guan 003; Yifan Zhou; Denis Liu; Yantian Zha; Heni Ben Amor; Subbarao Kambhampati (CoRR, 2024)

Robust Planning with LLM-Modulo Framework: Case Study in Travel Planning. - Atharva Gundawar; Mudit Verma; Lin Guan 003; Karthik Valmeekam; Siddhant Bhambri; Subbarao Kambhampati (CoRR, 2024)