Robert Fergus

Associate Professor of Computer Science

20012019
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Fingerprint Dive into the research topics where Robert Fergus is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 3 Similar Profiles
Labels Engineering & Materials Science
Semantics Engineering & Materials Science
Cameras Engineering & Materials Science
Neural networks Engineering & Materials Science
Convolution Engineering & Materials Science
Object recognition Engineering & Materials Science
Internet Engineering & Materials Science
Binary codes Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2001 2019

Hierarchical RL using an ensemble of proprioceptive periodic policies

Marino, K., Gupta, A., Szlam, A. & Fergus, R., Jan 1 2019.

Research output: Contribution to conferencePaper

reward
Navigation
Ensemble
Reward
learning

Composable planning with attributes

Zhang, A., Lerer, A., Sukhbaatar, S., Fergus, R. & Szlam, A., Jan 1 2018, 35th International Conference on Machine Learning, ICML 2018. Krause, A. & Dy, J. (eds.). International Machine Learning Society (IMLS), Vol. 13. p. 9292-9307 16 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Planning

Intrinsic motivation and automatic curricula via asymmetric self-play

Sukhbaatar, S., Lin, Z., Kostrikov, I., Synnaeve, G., Szlam, A. & Fergus, R., Jan 1 2018.

Research output: Contribution to conferencePaper

intrinsic motivation
Curricula
curriculum
reward
Intrinsic Motivation

Learning by Asking Questions

Misra, I., Girshick, R., Fergus, R., Hebert, M., Gupta, A. & Van Der Maaten, L., Dec 14 2018, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018. IEEE Computer Society, p. 11-20 10 p. 8578107. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Curricula
Learning systems
Testing

Modeling others using oneself in multi-agent reinforcement learning

Raileanu, R., Denton, E., Szlam, A. & Fergus, R., Jan 1 2018, 35th International Conference on Machine Learning, ICML 2018. Krause, A. & Dy, J. (eds.). International Machine Learning Society (IMLS), Vol. 10. p. 6779-6788 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Reinforcement learning