Shu, Tianmin

Active visual information gathering for vision-language navigation

Wang, H., Wang, W., Shu, T., Liang, W., & Shen, J. (2020) · Lecture Notes in Computer Science

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 74

Building Cooperative Embodied Agents Modularly with Large Language Models

Zhang, H., Du, W., Shan, J., Zhou, Q., Du, Y., Tenenbaum, J. B., Shu, T., & Gan, C. (2023) · arXiv

Reinforcement Learning in RoboticsMulti-Agent Systems and Negotiation

Cited by 52

AGENT: A Benchmark for Core Psychological Reasoning

Shu, T., Bhandwaldar, A., Gan, C., Smith, K. A., Liu, S., Gutfreund, D., Spelke, E., Tenenbaum, J. B., & Ullman, T. D. (2021) · arXiv

Child and Animal Learning DevelopmentAI-based Problem Solving and Planning

Cited by 34

Language Models Meet World Models: Embodied Experiences Enhance Language Models

Xiang, J., Tao, T., Gu, Y., Shu, T., Wang, Z., Yang, Z., & Hu, Z. (2023) · arXiv

Embodied and Extended CognitionMultimodal Machine Learning Applications

Cited by 34

RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning

Deng, M., Wang, J., Hsieh, C.-P., Wang, Y., Guo, H., Shu, T., Song, M., Xing, E. P., & Hu, Z. (2022) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 14