Zhang, Edwin

9 publications

NeurIPS 2024 A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health Nikhil Behari, Edwin Zhang, Yunfan Zhao, Aparna Taneja, Dheeraj Nagaraj, Milind Tambe

ICLR 2024 Language Control Diffusion: Efficiently Scaling Through Space, Time, and Tasks Edwin Zhang, Yujie Lu, Shinda Huang, William Yang Wang, Amy Zhang

ICML 2024 Position: Social Environment Design Should Be Further Developed for AI-Based Policy-Making Edwin Zhang, Sadie Zhao, Tonghan Wang, Safwan Hossain, Henry Gasztowtt, Stephan Zheng, David C. Parkes, Milind Tambe, Yiling Chen

NeurIPSW 2024 Proof Flow: Preliminary Study on Generative Flow Network Language Model Tuning for Formal Reasoning Matthew Ho, Vincent Zhu, Xiaoyin Chen, Moksh Jain, Nikolay Malkin, Edwin Zhang

IJCAI 2024 Towards a Pretrained Model for Restless Bandits via Multi-Arm Generalization Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe

NeurIPS 2024 Transcendence: Generative Models Can Outperform the Experts That Train Them Edwin Zhang, Vincent Zhu, Naomi Saphra, Anat Kleiman, Benjamin L. Edelman, Milind Tambe, Sham Kakade, Eran Malach

ICML 2023 Offline Reinforcement Learning with Closed-Form Policy Improvement Operators Jiachen Li, Edwin Zhang, Ming Yin, Qinxun Bai, Yu-Xiang Wang, William Yang Wang

NeurIPSW 2022 LAD: Language Augmented Diffusion for Reinforcement Learning Edwin Zhang, Yujie Lu, William Yang Wang, Amy Zhang

NeurIPSW 2022 Offline Reinforcement Learning with Closed-Form Policy Improvement Operators Jiachen Li, Edwin Zhang, Ming Yin, Qinxun Bai, Yu-Xiang Wang, William Yang Wang