Biography
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Run Peng is a coming Ph.D student at University of Michigan. He actively works in the SLED Lab, advised by Professor Joyce Chai, and Lee Lab, advised by Professor Honglak Lee. In addition, he worked as a reserach intern at LG AI Research, mentored by Lajanugen Logeswaran and Sungryull Sohn. His research interests include embodied collaboration, reinforcement learning, and natural language processing.
Interests
- Embodied Collaboration
- Computational Linguistics
- Reinforcement Learning
Education
MSE in Computer Science & Engineering, 2024
University of Michigan
BSE in Computer Science & Engineering, 2022
University of Michigan
BSE in Electrical & Computer Engineering, 2022
Shanghai Jiao Tong University
Experience
Research Intern
LG AI Research
Responsibilities include:
- Design and implement intuitive GPT-based evaluation on language generation tasks, which enables automatic, human-like evaluation on open-end dialogues without human evaluators.
- Equip LLM with specific personas to act as humans, having diverse task-oriented conversations with given baselines, to augment the existing datasets with more randomness and diversity.
Graduate student research asssistant
Responsibilities include:
- Leading or playing a major role in multiple projects related to theory-of-mind modeling, human-robot collaboration, language grounding, and embodied environment understanding.
- Detailed descriptions can be found in the project list.
Graduate & Undergraduate student research assistant
Lee Lab @Umich
Responsibilities include:
- Intrinsic motivation design in hard exploration with reinforcement learning
- Task representation refining for meta-learning via contrastive learning
Projects
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Responsible for designing and implementing all ten tasks on minigrid; Actively Contributed to test LLM’s understanding on situated theory of mind, unveiling its lack of ability to correctly reason the theory of mind
Constructing a multi-agent, collaboration benchmark which requires belief and intention modeling; Training RL agents to perform theory of mind modeling during the collaboration`
Humans develop Theory of Mind (ToM) at a young age - the ability to understand that others have intents, beliefs, knowledge, skills, etc. that may differ from our own. Modeling others’ mental states plays an important role in human-human communication and collaborative tasks.
Featured Publications
Recent Publications
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(2023).
Think, Act, and Ask: Open-World Interactive Personalized Robot Navigation.
ICRA 2024.
(2023).
Go Beyond Imagination: Maximizing Episodic Reachability with World Models.
In ICML 2023, Poster.