Edwin Zhang

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	All	Since 2019
Citations	15	15
h-index	2	2
i10-index	0	0

202320247 8

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Amy ZhangAssistant Professor of Electrical and Computer Engineering at University of Texas at AustinVerified email at austin.utexas.edu
Yujie LuUniversity of California, Santa BarbaraVerified email at ucsb.edu
William Yang WangMellichamp Chair Professor, University of California, Santa BarbaraVerified email at cs.ucsb.edu
Milind TambeProfessor & Director CRCS Center @Harvard; Director "AI for Social Good" @Google ResearchVerified email at harvard.edu
Ming YinPrinceton UniversityVerified email at princeton.edu
Yu-Xiang WangAssociate Professor @ UC San DiegoVerified email at ucsd.edu
Jiachen LiUC Santa BarbaraVerified email at ucsb.edu
Qinxun BaiHorizon Robotics Inc.Verified email at horizon.ai
Yunfan ZhaoHarvard UniversityVerified email at columbia.edu
Dheeraj NagarajResearch Scientist, GoogleVerified email at google.com
Aparna TanejaGoogleVerified email at google.com
Nikhil BehariHarvard UniversityVerified email at g.harvard.edu
Karl TuylsResearch Scientist, ex-Google DeepMind and Professor of computer science, University of LiverpoolVerified email at google.com
Edward HughesStaff Research Engineer, DeepMindVerified email at google.com
Finale Doshi-VelezProfessor, HarvardVerified email at seas.harvard.edu
Harvey KlyneHarvard UniversityVerified email at g.harvard.edu
Cassidy LaidlawUniversity of California, BerkeleyVerified email at berkeley.edu
David C. ParkesGeorge F. Colony Professor of Computer Science, Harvard UniversityVerified email at eecs.harvard.edu
Safwan HossainHarvard UniversityVerified email at g.harvard.edu
Tonghan WangEcon CS group, Harvard UniversityVerified email at g.harvard.edu

Edwin Zhang

Other namesEdwin Tyler Zhang

Harvard University

Verified email at g.harvard.edu - Homepage

social good reinforcement learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Lad: Language augmented diffusion for reinforcement learning E Zhang, Y Lu, WY Wang, A Zhang Second Workshop on Language and Reinforcement Learning, 2022	9	2022
Language Control Diffusion: Efficiently Scaling through Space, Time, and Tasks E Zhang, Y Lu, W Wang, A Zhang arXiv preprint arXiv:2210.15629, 2022	3	2022
Offline reinforcement learning with closed-form policy improvement operators J Li, E Zhang, M Yin, Q Bai, YX Wang, WY Wang International Conference on Machine Learning, 20485-20528, 2023	2	2023
Interactive Grounded Language Understanding in a Collaborative Environment: Retrospective on Iglu 2022 Competition J Kiseleva, A Skrynnik, A Zholus, S Mohanty, N Arabzadeh, MA Côté, ... NeurIPS 2022 Competition Track, 204-216, 2023	1	2023
A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health N Behari, E Zhang, Y Zhao, A Taneja, D Nagaraj, M Tambe arXiv preprint arXiv:2402.14807, 2024		2024
Social Environment Design E Zhang, S Zhao, T Wang, S Hossain, H Gasztowtt, S Zheng, DC Parkes, ... arXiv preprint arXiv:2402.14090, 2024		2024
Toward Computationally Efficient Inverse Reinforcement Learning via Reward Shaping LH Cooke, H Klyne, E Zhang, C Laidlaw, M Tambe, F Doshi-Velez arXiv preprint arXiv:2312.09983, 2023		2023
Towards Zero Shot Learning in Restless Multi-armed Bandits Y Zhao, N Behari, E Hughes, E Zhang, D Nagaraj, K Tuyls, A Taneja, ... arXiv preprint arXiv:2310.14526, 2023		2023
Towards Generalist Agents through Scaling Offline Reinforcement Learning ET Zhang University of California, Santa Barbara, 2023		2023

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