Edwin Zhang

According to our database, Edwin Zhang authored at least 20 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Large Legislative Models: Towards Efficient AI Policymaking in Economic Simulations.

Henry Gasztowtt, Benjamin Smith, Vincent Zhu, Qinxun Bai, Edwin Zhang

CoRR, 2024

Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning.

Danqing Wang, Antonis Antoniades, Kha-Dinh Luong, Edwin Zhang, Mert Kosan, Jiachen Li, Ambuj K. Singh, William Yang Wang, Lei Li

CoRR, 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 M. Kakade, Eran Malach

CoRR, 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

CoRR, 2024

Social Environment Design.

Edwin Zhang, Sadie Zhao, Tonghan Wang, Safwan Hossain, Henry Gasztowtt, Stephan Zheng, David C. Parkes, Milind Tambe, Yiling Chen

CoRR, 2024

Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning.

Danqing Wang, Antonis Antoniades, Kha-Dinh Luong, Edwin Zhang, Mert Kosan, Jiachen Li, Ambuj Singh, William Yang Wang, Lei Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Language Control Diffusion: Efficiently Scaling through Space, Time, and Tasks.

Edwin Zhang, Yujie Lu, Shinda Huang, William Yang Wang, Amy Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Toward Computationally Efficient Inverse Reinforcement Learning via Reward Shaping.

Lauren H. Cooke, Harvey Klyne, Edwin Zhang, Cassidy Laidlaw, Milind Tambe, Finale Doshi-Velez

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Towards Zero Shot Learning in Restless Multi-armed Bandits.

Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Offline Reinforcement Learning with Closed-Form Policy Improvement Operators.

Jiachen Li, Edwin Zhang, Ming Yin, Qinxun Bai, Yu-Xiang Wang, William Yang Wang

Proceedings of the International Conference on Machine Learning, 2023

2022

LAD: Language Augmented Diffusion for Reinforcement Learning.

Edwin Zhang, Yujie Lu, William Wang, Amy Zhang

CoRR, 2022

2021

Chatty Goose: A Python Framework for Conversational Search.

Edwin Zhang, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Frassetto Nogueira, Jimmy Lin

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Interactive Grounded Language Understanding in a Collaborative Environment: Retrospective on Iglu 2022 Competition.

Julia Kiseleva, Alexey Skrynnik, Artem Zholus, Shrestha Mohanty, Negar Arabzadeh, Marc-Alexandre Côté, Mohammad Aliannejadi, Milagro Teruel, Ziming Li, Mikhail Burtsev, Maartje ter Hoeve, Zoya Volovikova, Aleksandr Panov, Yuxuan Sun, Kavya Srinet, Arthur Szlam, Ahmed Awadallah, Seungeun Rho, Taehwan Kwon, Daniel Wontae Nam, Felipe Bivort Haiek, Edwin Zhang, Linar Abdrazakov, Guo Qingyam, Jason Zhang, Zhibin Guo

Proceedings of the NeurIPS 2022 Competition Track, 2021

Open Data Standard and Analysis Framework: Towards Response Equity in Local Governments.

Joy Hsu, Ramya Ravichandran, Edwin Zhang, Christine Keung

Proceedings of the EAAMO 2021: ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, Virtual Event, USA, October 5, 2021

2020

Rapidly Bootstrapping a Question Answering Dataset for COVID-19.

Raphael Tang, Rodrigo Frassetto Nogueira, Edwin Zhang, Nikhil Gupta, Phuong Cam, Kyunghyun Cho, Jimmy Lin

CoRR, 2020

Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset: Preliminary Thoughts and Lessons Learned.

Edwin Zhang, Nikhil Gupta, Rodrigo Frassetto Nogueira, Kyunghyun Cho, Jimmy Lin

CoRR, 2020

Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset.

Edwin Zhang, Nikhil Gupta, Raphael Tang, Xiao Han, Ronak Pradeep, Kuang Lu, Yue Zhang, Rodrigo Frassetto Nogueira, Kyunghyun Cho, Hui Fang, Jimmy Lin

Proceedings of the First Workshop on Scholarly Document Processing, 2020

Cydex: Neural Search Infrastructure for the Scholarly Literature.

Shane Ding, Edwin Zhang, Jimmy Lin

Proceedings of the First Workshop on Scholarly Document Processing, 2020