Sainbayar Sukhbaatar

I am a research scientist at Meta Fundamental AI Research (FAIR) focusing on reasoning and memory in AI. I did my PhD with Rob Fergus at the Department of Computer Science of New York University.

Publications

For more recent publications, see Google Scholar or Semantic Scholar
A. Singh, T. Jain, S. Sukhbaatar
Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks.
ICLR, 2019 code
S. Sukhbaatar, E. Denton, A. Szlam, R. Fergus
Learning Goal Embeddings via Self-Play for Hierarchical Reinforcement Learning.
Deep RL Workshop at NeurIPS, 2018
S. Sukhbaatar
Elements of Intelligence: Memory, Communication and Intrinsic Motivation.
PhD Thesis, 2018
A. Zhang, A. Lerer, S. Sukhbaatar, R. Fergus, A. Szlam
Composable Planning with Attributes.
ICML, 2018
S. Sukhbaatar, Z. Lin, I. Kostrikov, G. Synnaeve, A. Szlam, R. Fergus
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play.
ICLR, 2018 code video slide talk
S. Sukhbaatar, A. Szlam, R. Fergus.
Learning Multiagent Communication with Backpropagation.
NIPS, 2016 code video
S. Sukhbaatar, A. Szlam, G. Synnaeve, S. Chintala, R. Fergus.
MazeBase: A Sandbox for Learning from Games.
arXiv preprint: 1511.07401, 2016 code video
B. Zhou, Y. Tian, S. Sukhbaatar, A. Szlam, R. Fergus.
Simple Baseline for Visual Question Answering.
arXiv preprint: 1512.02167, 2015 code demo
S. Sukhbaatar, A. Szlam, J. Weston, R. Fergus.
End-To-End Memory Networks.
NIPS, 2015. Oral Presentation (Top 0.8% of submissions) code slide talk
S. Sukhbaatar, J. Bruna, M. Paluri, L. Bourdev, R. Fergus.
Training Convolutional Networks with Noisy Labels.
ICLR Workshop track, 2015 code
S. Sukhbaatar, T. Makino, K. Aihara.
Auto-pooling: Learning to Improve Invariance of Image Features from Image Sequences.
arXiv preprint: 1301.3323, 2013
S. Sukhbaatar, T. Makino, K. Aihara, T. Chikayama.
Robust Generation of Dynamical Patterns in Human Motion by a Deep Belief Nets.
The 3rd Asian Conference on Machine Learning, 2011 code video

Education

2013-2018
New York University, Ph.D student
Department of Computer Science (thesis)
2011-2013
The University of Tokyo, Master's degree
Department of Mathematical Informatics, Graduate School of Information Science and Technology (thesis)
2007-2011
The University of Tokyo, Bachelor's degree
Department of Electrical and Electronic Engineering, School of Engineering (thesis)

Work experience

Summer 2017
Research Internship at Deepmind
Research on encouraging diversity in reinforcement learning
Summer 2016
Research Internship at Facebook AI Research
Research on multiagent communication in reinforcement learning
Summer 2015
Research Internship at Facebook AI Research
Research on reinforcement learning
Summer 2014
Research Internship at Facebook AI Research
Research on noisy labels, memory networks
Summer 2011
Engineering Internship at Google, Japan
Worked on a memory profiler for Chromium browser.
2007-2011
Research & Development, Tokyo, Japan
Web application development on ASP.NET.

Achievements

Janet Fabri Prize for the department's most outstanding dissertation
Two silver and one bronze medals from International Mathematical Olympiad
Awarded the Japanese Government Scholarship (MONBUSHO) between 2006 and 2013
Six gold medals from Mongolian National Mathematical and Physics olympiads