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Edwin Zhang
Edwin Zhang
Other namesEdwin Tyler Zhang
Verified email at g.harvard.edu - Homepage
Title
Cited by
Cited by
Year
Offline reinforcement learning with closed-form policy improvement operators
J Li, E Zhang, M Yin, Q Bai, YX Wang, WY Wang
ICML 23, 20485-20528, 2023
112023
Lad: Language augmented diffusion for reinforcement learning
E Zhang, Y Lu, WY Wang, A Zhang
NeurIPS 22, Second Workshop on Language and Reinforcement Learning, 2022
112022
Language Control Diffusion: Efficiently Scaling through Space, Time, and Tasks
E Zhang, Y Lu, W Wang, A Zhang
ICLR 24, 2024
82024
Transcendence: Generative Models Can Outperform The Experts That Train Them
E Zhang, V Zhu, N Saphra, A Kleiman, BL Edelman, M Tambe, ...
NeurIPS 2024, 2024
72024
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
NeurIPS 2024, 2024
62024
Social Environment Design
E Zhang, S Zhao, T Wang, S Hossain, H Gasztowtt, S Zheng, DC Parkes, ...
ICML 24 Position Paper, 2024
4*2024
Towards a pretrained model for restless bandits via multi-arm generalization
Y Zhao, N Behari, E Hughes, E Zhang, D Nagaraj, K Tuyls, A Taneja, ...
Proc. of IJCAI, 321-329, 2024
42024
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
32023
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
22023
Toward Computationally Efficient Inverse Reinforcement Learning via Reward Shaping
LH Cooke, H Klyne, E Zhang, C Laidlaw, M Tambe, F Doshi-Velez
ICLR 24 Tiny Paper, 2023
12023
Proof Flow: Preliminary Study on Generative Flow Network Language Model Tuning for Formal Reasoning
M Ho, V Zhu, X Chen, M Jain, N Malkin, E Zhang
arXiv preprint arXiv:2410.13224, 2024
2024
Large Legislative Models: Towards Efficient AI Policymaking in Economic Simulations
H Gasztowtt, B Smith, V Zhu, Q Bai, E Zhang
arXiv preprint arXiv:2410.08345, 2024
2024
Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning
D Wang, A Antoniades, KD Luong, E Zhang, M Kosan, J Li, A Singh, ...
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
2024
Towards Generalist Agents through Scaling Offline Reinforcement Learning
ET Zhang
University of California, Santa Barbara, 2023
2023
A Pretrained Flexible Model for Restless Multi-armed Bandits
Y Zhao, N Behari, E Hughes, E Zhang, D Nagaraj, K Tuyls, A Taneja, ...
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