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ORCIDAmy Zhang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Amy Zhang 0001
![[0000-0002-4061-5582]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-4061-5582")
— UT Austin, TX, USA (and 2 more)
Other persons with a similar name
- Amy B. Z. Zhang
- Amy X. Zhang (aka: Amy Xian Zhang) — University of Washington, Allen School of Computer Science and Engineering, Seattle, WA, USA (and 4 more)
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2020 – today
- 2024
[j4]Aditya Mohan, Amy Zhang, Marius Lindauer:
Structure in Deep Reinforcement Learning: A Survey and Open Problems. J. Artif. Intell. Res. 79: 1167-1236 (2024)- [c11]Paul Barde, Jakob Foerster, Derek Nowrouzezahrai, Amy Zhang:
A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem. AAMAS 2024: 141-150 - [c10]Rui Yang, Han Zhong, Jiawei Xu, Amy Zhang, Chongjie Zhang, Lei Han, Tong Zhang:
Towards Robust Offline Reinforcement Learning under Diverse Data Corruption. ICLR 2024 - [c9]Tyler Ingebrand, Amy Zhang, Ufuk Topcu:
Zero-Shot Reinforcement Learning via Function Encoders. ICML 2024 - [c8]Brett Barkley, Amy Zhang, David Fridovich-Keil:
An investigation of time reversal symmetry in reinforcement learning. L4DC 2024: 68-79 - [c7]Jie Zhu, Mengsha Hu, Amy Zhang, Ruoming Jin, Rui Liu:
Fairness-Sensitive Policy-Gradient Reinforcement Learning for Reducing Bias in Robotic Assistance. RO-MAN 2024: 549-554 - [i17]Tyler Ingebrand, Amy Zhang, Ufuk Topcu:
Zero-Shot Reinforcement Learning via Function Encoders. CoRR abs/2401.17173 (2024) - [i16]Liyuan Mao, Haoran Xu, Weinan Zhang, Xianyuan Zhan, Amy Zhang:
Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning. CoRR abs/2407.20109 (2024) - [i15]Mohamad Fares El Hajj Chehade, Amrit Singh Bedi, Amy Zhang, Hao Zhu:
CAT: Caution Aware Transfer in Reinforcement Learning via Distributional Risk. CoRR abs/2408.08812 (2024) - [i14]Philip Baillargeon, Jina Yoon, Amy Zhang:
Who Puts the "Social" in "Social Computing"?: Using A Neurodiversity Framing to Review Social Computing Research. CoRR abs/2410.15527 (2024) - [i13]Alicia Guo, Shreya Sathyanarayanan, Leijie Wang, Jeffrey Heer, Amy Zhang:
From Pen to Prompt: How Creative Writers Integrate AI into their Writing Practice. CoRR abs/2411.03137 (2024) - [i12]Jake Grigsby, Justin Sasek, Samyak Parajuli, Daniel Adebi, Amy Zhang, Yuke Zhu:
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers. CoRR abs/2411.11188 (2024) - 2023
- [j3]Robert Kirk, Amy Zhang, Edward Grefenstette, Tim Rocktäschel:
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning. J. Artif. Intell. Res. 76: 201-264 (2023) - [c6]Hanlin Zhu, Amy Zhang:
Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy Concentrability. NeurIPS 2023 - [i11]Hanlin Zhu, Amy Zhang:
Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy Concentrability. CoRR abs/2302.03770 (2023) - [i10]Qiaojie Zheng, Jiucai Zhang, Amy Zhang, Xiaoli Zhang:
Confidence-aware 3D Gaze Estimation and Evaluation Metric. CoRR abs/2303.10062 (2023) - [i9]Paul Barde, Jakob Foerster, Derek Nowrouzezahrai, Amy Zhang:
A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem. CoRR abs/2305.17198 (2023) - [i8]Jie Zhu, Mengsha Hu, Xueyao Liang, Amy Zhang, Ruoming Jin, Rui Liu:
Fairness-Sensitive Policy-Gradient Reinforcement Learning for Reducing Bias in Robotic Assistance. CoRR abs/2306.04167 (2023) - [i7]Anuj Mahajan, Amy Zhang:
Generalization Across Observation Shifts in Reinforcement Learning. CoRR abs/2306.04595 (2023) - [i6]Aditya Mohan, Amy Zhang, Marius Lindauer:
Structure in Reinforcement Learning: A Survey and Open Problems. CoRR abs/2306.16021 (2023) - [i5]Rui Yang, Han Zhong, Jiawei Xu, Amy Zhang, Chongjie Zhang, Lei Han, Tong Zhang:
Towards Robust Offline Reinforcement Learning under Diverse Data Corruption. CoRR abs/2310.12955 (2023) - [i4]Rostand A. K. Fezeu, Timothy J. Salo, Amy Zhang, Zhi-Li Zhang:
Dissecting IoT Device Provisioning Process. CoRR abs/2310.14125 (2023) - [i3]Brett Barkley, Amy Zhang, David Fridovich-Keil:
An Investigation of Time Reversal Symmetry in Reinforcement Learning. CoRR abs/2311.17008 (2023) - 2022
- [c5]Amy Zhang, Aaron Brookhouse, Daniel Hammer, Francesca Spezzano, Liljana Babinkostova:
Predicting the Influence of Fake and Real News Spreaders (Student Abstract). AAAI 2022: 13107-13108 - [i2]Chris Lengerich, Gabriel Synnaeve, Amy Zhang, Hugh Leather, Kurt Shuster, François Charton, Charysse Redwood:
Contrastive Distillation Is a Sample-Efficient Self-Supervised Loss Policy for Transfer Learning. CoRR abs/2212.11353 (2022) - 2021
- [i1]Robert Kirk, Amy Zhang, Edward Grefenstette, Tim Rocktäschel:
A Survey of Generalisation in Deep Reinforcement Learning. CoRR abs/2111.09794 (2021)
2010 – 2019
- 2019
- [j2]Deena M. A. Gendoo, Robert E. Denroche, Amy Zhang, Nikolina Radulovich, Gun Ho Jang, Mathieu Lemire, Sandra Fischer, Dianne Chadwick, Ilinca M. Lungu, Emin Ibrahimov, Ping-Jiang Cao, Lincoln D. Stein, Julie M. Wilson, John M. S. Bartlett, Ming-Sound Tsao, Neesha Dhani, David Hedley, Steven Gallinger, Benjamin Haibe-Kains:
Whole genomes define concordance of matched primary, xenograft, and organoid models of pancreas cancer. PLoS Comput. Biol. 15(1) (2019) - 2018
- [j1]Amelia Bateman, Oliver K. Zhao, Andrea V. Bajcsy, Mathew C. Jennings, Bryan N. Toth, Alexa J. Cohen, Emily L. Horton, Anish Khattar, Ryan S. Kuo, Felix A. Lee, Meilin K. Lim, Laura W. Migasiuk, Ramkesh Renganathan, Amy Zhang, Márcio A. Oliveira:
A user-centered design and analysis of an electrostatic haptic touchscreen system for students with visual impairments. Int. J. Hum. Comput. Stud. 109: 102-111 (2018) - 2013
- [c4]Adithya Renduchintala, Amy Zhang, Thomas Polzin, Gilan Saawadi:
Using Machine Learning and HL7 LOINC DO for Classification of Clinical Documents. AMIA 2013 - [c3]Haiyi Zhu, Amy Zhang, Jiping He, Robert E. Kraut, Aniket Kittur:
Effects of peer feedback on contribution: a field experiment in Wikipedia. CHI 2013: 2253-2262 - 2010
- [c2]Amy Zhang, Monica Cardella:
Knowledge transmission and engineering teaching. ICLS (1) 2010: 1087-1094
2000 – 2009
- 2006
- [c1]Ruchir Bindal, Pei Cao, William Chan, Jan Medved, George Suwala, Tony Bates, Amy Zhang:
Improving Traffic Locality in BitTorrent via Biased Neighbor Selection. ICDCS 2006: 66
Coauthor Index
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