Amy Zhang

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 41

Top Topics

Function Approximation

Reinforcement Learning

Top Venues

J. Artif. Intell. Res.

Publications

Paul Barde, Jakob Foerster, Derek Nowrouzezahrai, Amy Zhang
A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem. AAMAS (2024)
Liyuan Mao, Haoran Xu, Weinan Zhang, Xianyuan Zhan, Amy Zhang
Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning. CoRR (2024)
Tyler Ingebrand, Amy Zhang, Ufuk Topcu
Zero-Shot Reinforcement Learning via Function Encoders. CoRR (2024)
Alexander Levine, Peter Stone, Amy Zhang
Multistep Inverse Is Not All You Need. CoRR (2024)
Zihan Ding, Amy Zhang, Yuandong Tian, Qinqing Zheng
Diffusion World Model. CoRR (2024)
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)
Brett Barkley, Amy Zhang, David Fridovich-Keil
An investigation of time reversal symmetry in reinforcement learning. L4DC (2024)
Kianna Bolante, Kevin Chen, Quan Ze Chen, Amy Zhang
Bringing Social Computing to Secondary School Classrooms. CoRR (2024)
Aditya Mohan, Amy Zhang, Marius Lindauer
Structure in Deep Reinforcement Learning: A Survey and Open Problems. J. Artif. Intell. Res. 79 (2024)
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 (2023)
Tongzhou Wang, Antonio Torralba, Phillip Isola, Amy Zhang
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning. ICML (2023)
Harshit Sikchi, Amy Zhang, Scott Niekum
Imitation from Arbitrary Experience: A Dual Unification of Reinforcement and Imitation Learning Methods. CoRR (2023)
Paul Barde, Jakob Foerster, Derek Nowrouzezahrai, Amy Zhang
A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem. CoRR (2023)
Hanlin Zhu, Amy Zhang
Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy Concentrability. NeurIPS (2023)
Siddhant Agarwal, Ishan Durugkar, Peter Stone, Amy Zhang
f-Policy Gradients: A General Framework for Goal Conditioned RL using f-Divergences. CoRR (2023)
Rostand A. K. Fezeu, Timothy J. Salo, Amy Zhang, Zhi-Li Zhang
Dissecting IoT Device Provisioning Process. CoRR (2023)
Rui Yang, Han Zhong, Jiawei Xu, Amy Zhang, Chongjie Zhang, Lei Han, Tong Zhang
Towards Robust Offline Reinforcement Learning under Diverse Data Corruption. CoRR (2023)
Aditya Mohan, Amy Zhang, Marius Lindauer
Structure in Reinforcement Learning: A Survey and Open Problems. CoRR (2023)
Siddhant Agarwal, Ishan Durugkar, Peter Stone, Amy Zhang
f-Policy Gradients: A General Framework for Goal-Conditioned RL using f-Divergences. NeurIPS (2023)
Qiaojie Zheng, Jiucai Zhang, Amy Zhang, Xiaoli Zhang
Confidence-aware 3D Gaze Estimation and Evaluation Metric. CoRR (2023)
Robert Kirk, Amy Zhang, Edward Grefenstette, Tim Rocktäschel
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning. J. Artif. Intell. Res. 76 (2023)
Shagun Jhaver, Alice Qian Zhang, Quanze Chen, Nikhila Natarajan, Ruotong Wang, Amy Zhang
Personalizing Content Moderation on Social Media: User Perspectives on Moderation Choices, Interface Design, and Labor. CoRR (2023)
Prajjwal Bhargava, Rohan Chitnis, Alborz Geramifard, Shagun Sodhani, Amy Zhang
Sequence Modeling is a Robust Contender for Offline Reinforcement Learning. CoRR (2023)
Anuj Mahajan, Amy Zhang
Generalization Across Observation Shifts in Reinforcement Learning. CoRR (2023)
Hanlin Zhu, Amy Zhang
Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy Concentrability. CoRR (2023)
Tongzhou Wang, Antonio Torralba, Phillip Isola, Amy Zhang
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning. CoRR (2023)
Andre Ye, Quan Ze Chen, Amy Zhang
Confidence Contours: Uncertainty-Aware Annotation for Medical Semantic Segmentation. CoRR (2023)
Brett Barkley, Amy Zhang, David Fridovich-Keil
An Investigation of Time Reversal Symmetry in Reinforcement Learning. CoRR (2023)
Mulong Luo, Wenjie Xiong, Geunbae Lee, Yueying Li, Xiaomeng Yang, Amy Zhang, Yuandong Tian, Hsien-Hsin S. Lee, G. Edward Suh
AutoCAT: Reinforcement Learning for Automated Exploration of Cache-Timing Attacks. HPCA (2023)
Teanna Barrett, Quanze Chen, Amy Zhang
Skin Deep: Investigating Subjectivity in Skin Tone Annotations for Computer Vision Benchmark Datasets. FAccT (2023)
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 (2022)
Tongzhou Wang, Simon S. Du, Antonio Torralba, Phillip Isola, Amy Zhang, Yuandong Tian
Denoised MDPs: Learning World Models Better Than the World Itself. CoRR (2022)
Edwin Zhang, Yujie Lu, William Wang, Amy Zhang
LAD: Language Augmented Diffusion for Reinforcement Learning. CoRR (2022)
Amy Zhang, Aaron Brookhouse, Daniel Hammer, Francesca Spezzano, Liljana Babinkostova
Predicting the Influence of Fake and Real News Spreaders (Student Abstract). AAAI (2022)
Tongzhou Wang, Simon Du, Antonio Torralba, Phillip Isola, Amy Zhang, Yuandong Tian
Denoised MDPs: Learning World Models Better Than the World Itself. ICML (2022)
Qinqing Zheng, Amy Zhang, Aditya Grover
Online Decision Transformer. CoRR (2022)
Mulong Luo, Wenjie Xiong, Geunbae Lee, Yueying Li, Xiaomeng Yang, Amy Zhang, Yuandong Tian, Hsien-Hsin S. Lee, G. Edward Suh
AutoCAT: Reinforcement Learning for Automated Exploration of Cache Timing-Channel Attacks. CoRR (2022)
Calvin Liang, Emily Tseng, Sachin R. Pendse, Crystal Lee, Kimberley R. Allison, Neilly H. Tan, Ruotong Wang, Alexandra To, Amy Zhang
Subtle CSCW Traits: Tensions Around Identity Formation and Online Activism in the Asian Diaspora. CSCW Companion (2021)
Robert Kirk, Amy Zhang, Edward Grefenstette, Tim Rocktäschel
A Survey of Generalisation in Deep Reinforcement Learning. CoRR (2021)
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)
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 (2018)
Adithya Renduchintala, Amy Zhang, Thomas Polzin, Gilan Saawadi
Using Machine Learning and HL7 LOINC DO for Classification of Clinical Documents. AMIA (2013)
Haiyi Zhu, Amy Zhang, Jiping He, Robert E. Kraut, Aniket Kittur
Effects of peer feedback on contribution: a field experiment in Wikipedia. CHI (2013)
Amy Zhang, Monica Cardella
Knowledge transmission and engineering teaching. ICLS (1) (2010)
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)