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Amy Zhang
Amy Zhang
Assistant Professor of Electrical and Computer Engineering at University of Texas at Austin
Verified email at austin.utexas.edu - Homepage
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Cited by
Cited by
Year
Out-of-distribution generalization via risk extrapolation (rex)
D Krueger, E Caballero, JH Jacobsen, A Zhang, J Binas, D Zhang, ...
ICML 2021; arXiv preprint arXiv:2003.00688, 2020
7972020
Learning invariant representations for reinforcement learning without reconstruction
A Zhang, R McAllister, R Calandra, Y Gal, S Levine
ICLR 2021; arXiv:2006.10742, 2020
4432020
Improving sample efficiency in model-free reinforcement learning from images
D Yarats, A Zhang, I Kostrikov, B Amos, J Pineau, R Fergus
AAAI 2021, 2019
3982019
A dissection of overfitting and generalization in continuous reinforcement learning
A Zhang, N Ballas, J Pineau
arXiv preprint arXiv:1806.07937, 2018
2002018
A survey of generalisation in deep reinforcement learning
R Kirk, A Zhang, E Grefenstette, T Rocktäschel
Journal of Artificial Intelligence Research; arXiv preprint arXiv:2111.09794, 2021
1882021
Online Decision Transformer
Q Zheng, A Zhang, A Grover
ICML 2022; arXiv:2202.05607, 2022
1782022
Multi-Task Reinforcement Learning with Context-based Representations
S Sodhani, A Zhang, J Pineau
ICML 2021; arXiv preprint arXiv:2102.06177, 2021
1532021
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training
YJ Ma, S Sodhani, D Jayaraman, O Bastani, V Kumar, A Zhang
ICLR 2023; arXiv preprint arXiv:2210.00030, 2022
1522022
Invariant causal prediction for block mdps
A Zhang, C Lyle, S Sodhani, A Filos, M Kwiatkowska, J Pineau, Y Gal, ...
ICML 2020; arXiv preprint arXiv:2003.06016, 2020
1372020
Mapping the world population one building at a time
TG Tiecke, X Liu, A Zhang, A Gros, N Li, G Yetman, T Kilic, S Murray, ...
arXiv preprint arXiv:1712.05839, 2017
1352017
A survey of zero-shot generalisation in deep reinforcement learning
R Kirk, A Zhang, E Grefenstette, T Rocktäschel
Journal of Artificial Intelligence Research 76, 201-264, 2023
1152023
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability
D Ghosh, J Rahme, A Kumar, A Zhang, RP Adams, S Levine
NeurIPS 2021, 2021
962021
Decoupling dynamics and reward for transfer learning
A Zhang, H Satija, J Pineau
arXiv preprint arXiv:1804.10689, 2018
882018
Managing your private and public data: Bringing down inference attacks against your privacy
S Salamatian, A Zhang, F du Pin Calmon, S Bhamidipati, N Fawaz, ...
IEEE Journal of Selected Topics in Signal Processing 9 (7), 1240-1255, 2015
862015
Composable planning with attributes
A Zhang, S Sukhbaatar, A Lerer, A Szlam, R Fergus
International Conference on Machine Learning, 5842-5851, 2018
772018
Guess who rated this movie: Identifying users through subspace clustering
A Zhang, N Fawaz, S Ioannidis, A Montanari
Uncertainty in Artificial Intelligence, 2012
772012
How to hide the elephant-or the donkey-in the room: Practical privacy against statistical inference for large data
S Salamatian, A Zhang, F du Pin Calmon, S Bhamidipati, N Fawaz, ...
2013 IEEE Global Conference on Signal and Information Processing, 269-272, 2013
762013
Natural environment benchmarks for reinforcement learning
A Zhang, Y Wu, J Pineau
arXiv preprint arXiv:1811.06032, 2018
672018
LIV: Language-Image Representations and Rewards for Robotic Control
YJ Ma, V Kumar, A Zhang, O Bastani, D Jayaraman
ICML 2023, 2023
652023
Learning causal state representations of partially observable environments
A Zhang, ZC Lipton, L Pineda, K Azizzadenesheli, A Anandkumar, L Itti, ...
arXiv preprint arXiv:1906.10437, 2019
542019
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