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Publication search results
found 73 matches
- 2024
- Kunal Jha, Tuan Anh Le, Chuanyang Jin, Yen-Ling Kuo, Joshua B. Tenenbaum, Tianmin Shu:
Neural Amortized Inference for Nested Multi-Agent Reasoning. AAAI 2024: 530-537 - Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer D. Ullman, Antonio Torralba, Joshua B. Tenenbaum, Tianmin Shu:
MMToM-QA: Multimodal Theory of Mind Question Answering. ACL (1) 2024: 16077-16102 - Hongxin Zhang, Weihua Du, Jiaming Shan, Qinhong Zhou, Yilun Du, Joshua B. Tenenbaum, Tianmin Shu, Chuang Gan:
Building Cooperative Embodied Agents Modularly with Large Language Models. ICLR 2024 - Andi Peng, Yuying Sun, Tianmin Shu, David Abel:
Pragmatic Feature Preferences: Learning Reward-Relevant Preferences from Human Input. ICML 2024 - Yuening Zhang, Paul Robertson, Tianmin Shu, Sungkweon Hong, Brian C. Williams:
Risk-Bounded Online Team Interventions via Theory of Mind. ICRA 2024: 12964-12970 - Lance Ying, Kunal Jha, Shivam Aarya, Joshua B. Tenenbaum, Antonio Torralba, Tianmin Shu:
GOMA: Proactive Embodied Cooperative Communication via Goal-Oriented Mental Alignment. IROS 2024: 7099-7106 - Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer D. Ullman, Antonio Torralba, Joshua B. Tenenbaum, Tianmin Shu:
MMToM-QA: Multimodal Theory of Mind Question Answering. CoRR abs/2401.08743 (2024) - Lance Ying, Kunal Jha, Shivam Aarya, Joshua B. Tenenbaum, Antonio Torralba, Tianmin Shu:
GOMA: Proactive Embodied Cooperative Communication via Goal-Oriented Mental Alignment. CoRR abs/2403.11075 (2024) - Hongxin Zhang, Zeyuan Wang, Qiushi Lyu, Zheyuan Zhang, Sunli Chen, Tianmin Shu, Yilun Du, Chuang Gan:
COMBO: Compositional World Models for Embodied Multi-Agent Cooperation. CoRR abs/2404.10775 (2024) - Andi Peng, Yuying Sun, Tianmin Shu, David Abel:
Pragmatic Feature Preferences: Learning Reward-Relevant Preferences from Human Input. CoRR abs/2405.14769 (2024) - Haojun Shi, Suyu Ye, Xinyu Fang, Chuanyang Jin, Leyla Isik, Yen-Ling Kuo, Tianmin Shu:
MuMA-ToM: Multi-modal Multi-Agent Theory of Mind. CoRR abs/2408.12574 (2024) - Lance Ying, Jason Xinyu Liu, Shivam Aarya, Yizirui Fang, Stefanie Tellex, Joshua B. Tenenbaum, Tianmin Shu:
SIFToM: Robust Spoken Instruction Following through Theory of Mind. CoRR abs/2409.10849 (2024) - Weihua Du, Qiushi Lyu, Jiaming Shan, Zhenting Qi, Hongxin Zhang, Sunli Chen, Andi Peng, Tianmin Shu, Kwonjoon Lee, Behzad Dariush, Chuang Gan:
Constrained Human-AI Cooperation: An Inclusive Embodied Social Intelligence Challenge. CoRR abs/2411.01796 (2024) - Aviv Netanyahu, Yilun Du, Antonia Bronars, Jyothish Pari, Joshua B. Tenenbaum, Tianmin Shu, Pulkit Agrawal:
Few-Shot Task Learning through Inverse Generative Modeling. CoRR abs/2411.04987 (2024) - Taiming Lu, Tianmin Shu, Alan L. Yuille, Daniel Khashabi, Jieneng Chen:
Generative World Explorer. CoRR abs/2411.11844 (2024) - 2023
- Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu:
Zero-Shot Linear Combinations of Grounded Social Interactions with Linear Social MDPs. AAAI 2023: 94-101 - Dianbo Liu, Vedant Shah, Oussama Boussif, Cristian Meo, Anirudh Goyal, Tianmin Shu, Michael Curtis Mozer, Nicolas Heess, Yoshua Bengio:
Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning. ICLR 2023 - Andi Peng, Aviv Netanyahu, Mark K. Ho, Tianmin Shu, Andreea Bobu, Julie Shah, Pulkit Agrawal:
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation. ICML 2023: 27630-27641 - Xavier Puig, Tianmin Shu, Joshua B. Tenenbaum, Antonio Torralba:
NOPA: Neurally-guided Online Probabilistic Assistance for Building Socially Intelligent Home Assistants. ICRA 2023: 7628-7634 - Jiannan Xiang, Tianhua Tao, Yi Gu, Tianmin Shu, Zirui Wang, Zichao Yang, Zhiting Hu:
Language Models Meet World Models: Embodied Experiences Enhance Language Models. NeurIPS 2023 - Xavier Puig, Tianmin Shu, Joshua B. Tenenbaum, Antonio Torralba:
NOPA: Neurally-guided Online Probabilistic Assistance for Building Socially Intelligent Home Assistants. CoRR abs/2301.05223 (2023) - Jiannan Xiang, Tianhua Tao, Yi Gu, Tianmin Shu, Zirui Wang, Zichao Yang, Zhiting Hu:
Language Models Meet World Models: Embodied Experiences Enhance Language Models. CoRR abs/2305.10626 (2023) - Hongxin Zhang, Weihua Du, Jiaming Shan, Qinhong Zhou, Yilun Du, Joshua B. Tenenbaum, Tianmin Shu, Chuang Gan:
Building Cooperative Embodied Agents Modularly with Large Language Models. CoRR abs/2307.02485 (2023) - Andi Peng, Aviv Netanyahu, Mark K. Ho, Tianmin Shu, Andreea Bobu, Julie Shah, Pulkit Agrawal:
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation. CoRR abs/2307.06333 (2023) - Kunal Jha, Tuan Anh Le, Chuanyang Jin, Yen-Ling Kuo, Joshua B. Tenenbaum, Tianmin Shu:
Neural Amortized Inference for Nested Multi-agent Reasoning. CoRR abs/2308.11071 (2023) - Chuanyang Jin, Songyang Zhang, Tianmin Shu, Zhihan Cui:
The Cultural Psychology of Large Language Models: Is ChatGPT a Holistic or Analytic Thinker? CoRR abs/2308.14242 (2023) - Zhiting Hu, Tianmin Shu:
Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and Planning. CoRR abs/2312.05230 (2023) - 2022
- Xiaofeng Gao, Luyao Yuan, Tianmin Shu, Hongjing Lu, Song-Chun Zhu:
Show Me What You Can Do: Capability Calibration on Reachable Workspace for Human-Robot Collaboration. IEEE Robotics Autom. Lett. 7(2): 2644-2651 (2022) - Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, Yihan Wang, Han Guo, Tianmin Shu, Meng Song, Eric P. Xing, Zhiting Hu:
RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning. EMNLP 2022: 3369-3391 - Aviv Netanyahu, Tianmin Shu, Joshua B. Tenenbaum, Pulkit Agrawal:
Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning. ICML 2022: 16480-16495
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