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ORCIDShi Dong 0003
Person information
- affiliation: Stanford University, Stanford, CA, USA
Other persons with the same name
- Shi Dong — disambiguation page
- Shi Dong 0001
![[0000-0003-4616-6519]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-4616-6519")
— Zhoukou Normal University, Zhoukou, China - Shi Dong 0002 — Northeastern University, Boston, MA, USA
- Shi Dong 0004 — Wuhan University, National Engineering Research Center for Multimedia Software, Wuhan, China
- Shi Dong 0005 — Chang'an University, College of Transportation Engineering, Xi'an, China
- Shi Dong 0006 — University of Science and Technology of China, China
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Journal Articles
- 2024
[j2]Wanqiao Xu, Shi Dong, Benjamin Van Roy:
Posterior Sampling for Continuing Environments. RLJ 5: 2107-2122 (2024)- 2022
- [j1]Shi Dong, Benjamin Van Roy, Zhengyuan Zhou:
Simple Agent, Complex Environment: Efficient Reinforcement Learning with Agent States. J. Mach. Learn. Res. 23: 255:1-255:54 (2022)
Conference and Workshop Papers
- 2019
- [c2]Shi Dong, Tengyu Ma, Benjamin Van Roy:
On the Performance of Thompson Sampling on Logistic Bandits. COLT 2019: 1158-1160 - 2018
- [c1]Shi Dong, Benjamin Van Roy:
An Information-Theoretic Analysis for Thompson Sampling with Many Actions. NeurIPS 2018: 4161-4169
Informal and Other Publications
- 2023
- [i9]Wanqiao Xu, Shi Dong, Dilip Arumugam, Benjamin Van Roy:
Shattering the Agent-Environment Interface for Fine-Tuning Inclusive Language Models. CoRR abs/2305.11455 (2023) - [i8]Wanqiao Xu, Shi Dong, Xiuyuan Lu, Grace Lam, Zheng Wen, Benjamin Van Roy:
RLHF and IIA: Perverse Incentives. CoRR abs/2312.01057 (2023) - 2022
- [i7]Wanqiao Xu, Shi Dong, Benjamin Van Roy:
Posterior Sampling for Continuing Environments. CoRR abs/2211.15931 (2022) - [i6]Dilip Arumugam, Shi Dong, Benjamin Van Roy:
Inclusive Artificial Intelligence. CoRR abs/2212.12633 (2022) - 2021
- [i5]Shi Dong, Benjamin Van Roy, Zhengyuan Zhou:
Simple Agent, Complex Environment: Efficient Reinforcement Learning with Agent State. CoRR abs/2102.05261 (2021) - 2019
- [i4]Shi Dong, Tengyu Ma, Benjamin Van Roy:
On the Performance of Thompson Sampling on Logistic Bandits. CoRR abs/1905.04654 (2019) - [i3]Benjamin Van Roy, Shi Dong:
Comments on the Du-Kakade-Wang-Yang Lower Bounds. CoRR abs/1911.07910 (2019) - [i2]Shi Dong, Benjamin Van Roy, Zhengyuan Zhou:
Provably Efficient Reinforcement Learning with Aggregated States. CoRR abs/1912.06366 (2019) - 2018
- [i1]Shi Dong, Benjamin Van Roy:
An Information-Theoretic Analysis of Thompson Sampling for Large Action Spaces. CoRR abs/1805.11845 (2018)
Coauthor Index
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