Amy Zhang

PhD Student

I am a PhD candidate at McGill University in the Reasoning and Learning Lab supervised by Joelle Pineau and a researcher at Facebook Artificial Intelligence Research. I hold dual B.S. degrees in EECS and math, and an M.Eng. in EECS from MIT. I previously did research in computer vision, privacy-preserving recommendation, and network coding. I am also a board member of Women in Machine Learning.


I work on state abstractions and deep reinforcement learning, with a focus on model-based methods and generalization.

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Latest Publications

ICLR - May 4, 2021

Learning Invariant Representations for Reinforcement Learning without Reconstruction

Amy Zhang, Rowan McAllister, Roberto Calandra, Yarin Gal, Sergey Levine

ICLR - May 4, 2021

Learning Robust State Abstractions for Hidden-Parameter Block MDPs

Amy Zhang, Shagun Sodhani, Khimya Khetarpal, Joelle Pineau

ICML - July 14, 2020

Invariant Causal Prediction for Block MDPs

Amy Zhang, Clare Lyle, Shagun Sodhani, Angelos Filos, Marta Kwiatkowska, Joelle Pineau, Yarin Gal, Doina Precup

Learning for Dynamics & Control (L4DC) - June 10, 2020

Plan2vec: Unsupervised Representation Learning by Latent Plans

Ge Yang, Amy Zhang, Ari Morcos, Joelle Pineau, Pieter Abbeel, Roberto Calandra

ICML 2018 - July 9, 2018

Composable Planning with Attributes

Amy Zhang, Adam Lerer, Sainbayar Sukhbaatar, Rob Fergus, Arthur Szlam

December 15, 2017

Mapping the world population one building at a time

Tobias Tiecke, Xianming Liu, Amy Zhang, Andreas Gros, Nan Li, Gregory Yetman, Talip Kilic, Siobhan Murray

NIPS Workshop - December 6, 2016

Population Density Estimation with Deconvolutional Neural Networks

Amy Zhang, Xianming Liu, Tobias Tiecke, Andreas Gros

Arxiv - December 6, 2016

Feedback Neural Network for Weakly Supervised Geo-Semantic Segmentation

Xianming Liu, Amy Zhang, Tobias Tiecke, Andreas Gros, Thomas S. Huang