Publications

Learning Invariant Representations for Reinforcement Learning without Reconstruction (ICLR 2021, Oral)
Website
A Zhang*, R McAllister*, R Calandra, Y Gal, S Levine

Multi-Task Reinforcement Learning as a Hidden-Parameter Block MDP (ICLR 2021)
Website
A Zhang, S Sodhani, K Khetarpal, J Pineau

Improving sample efficiency in model-free reinforcement learning from images (AAAI 2021)
Website Code
D Yarats, A Zhang, I Kostrikov, B Amos, J Pineau, R Fergus

Learning from Graphical Replay (Learning in Task and Motion Planning Workshop at RSS 2020)
G Yang, A Zhang, A Morcos, J Pineau, P Abbeel, R Calandra

Plan2Vec: Unsupervised Representation Learning by Latent Plans (L4DC 2020)
G Yang*, A Zhang*, A Morcos, J Pineau, P Abbeel, R Calandra

Invariant Causal Prediction for Block MDPs (ICML 2020)
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A Zhang*, C Lyle*, S Sodhani, A Filos, M Kwiatkowska, J Pineau, Y Gal, D Precup

Stable Policy Optimization via Off-Policy Divergence Regularization (UAI 2020)
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A Touati*, A Zhang*, J Pineau, P Vincent

Out-of-distribution generalization via risk extrapolation (preprint)
D Krueger, E Caballero, JH Jacobsen, A Zhang, J Binas, R Le Priol, A Courville

Learning causal state representations of partially observable environments (Oral at RLDM 2019)
A Zhang, Z Lipton, L Pineda, K Azizzadenesheli, A Anandkumar, L Itti, J Pineau, T Furlanello

Natural environment benchmarks for reinforcement learning (preprint)
A Zhang, Y Wu, J Pineau

Composable planning with attributes (ICML 2018)
A Zhang, S Sukhbaatar, A Lerer, A Szlam, R Fergus

A dissection of overfitting and generalization in continuous reinforcement learning (preprint)
A Zhang, N Ballas, J Pineau

Decoupling dynamics and reward for transfer learning (ICLR Workshop 2018)
A Zhang*, H Satija*, J Pineau

Mapping the world population one building at a time (preprint)
TG Tiecke, X Liu, A Zhang, A Gros, N Li, G Yetman, T Kilic, S Murray, B Blankespoor, EB Prydz, HH Dang

Building detection from satellite images on a global scale (preprint)
A Zhang, X Liu, A Gros, T Tiecke

Feedback neural network for weakly supervised geo-semantic segmentation (preprint)
X Liu, A Zhang, T Tiecke, A Gros, TS Huang

PriView: personalized media consumption meets privacy against inference attacks (IEEE Web)
A Zhang, S Bhamidipati, N Fawaz, B Kveton

Managing your private and public data: Bringing down inference attacks against your privacy (IEEE Journal of Selected Topics in Signal Processing)
S Salamatian, A Zhang, F du Pin Calmon, S Bhamidipati, N Fawaz, B Kveton, P Oliveira, N Taft

How to hide the elephant-or the donkey-in the room: Practical privacy against statistical inference for large data (IEEE Global Conference on Signal and Information Processing)
S Salamatian, A Zhang, F du Pin Calmon, S Bhamidipati, N Fawaz, B Kveton, P Oliveira, N Taft

A network flow approach in cloud computing (CISS 2013)
S Feizi, A Zhang, M Médard

Guess who rated this movie: Identifying users through subspace clustering (UAI 2012)
A Zhang, N Fawaz, S Ioannidis, A Montanari

A functional flow framework for cloud computing (MIT Master’s Thesis)
A Zhang