Concepedia

Sam Toyer

ST

7

Publications

321

Citations

7

H-Index

2017

Active since

Affiliations

Australian National University(Current)

University of California, Berkeley

Sam Toyer is an author at Australian National University specializing in deep learning, robot learning, and engineering.

Top concepts

EngineeringDeep LearningRobot LearningComputer ScienceMachine LearningData ScienceArtificial IntelligencePlanningMachine VisionImitation Learning

Publications per year

2017–2025

7

Publications

7

Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow

Xue Bin Peng, Angjoo Kanazawa, Sam Toyer et al. · arXiv (Cornell University) · 2018 · 101 citations · Full text

Artificial Intelligence, Imitation Learning, Inverse Rl +15

Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow

Xue Bin Peng, Angjoo Kanazawa, Sam Toyer et al. · arXiv (Cornell University) · 2018 · 73 citations · Full text

Artificial Intelligence, Imitation Learning, Inverse Rl +15

Action Schema Networks: Generalised Policies With Deep Learning

Sam Toyer, Felipe Trevizan, Sylvie Thiébaux et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2018 · 55 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +16

Human Pose Forecasting via Deep Markov Models

Sam Toyer, Anoop Cherian, Tengda Han et al. · 2017 · 41 citations

Engineering, Machine Learning, Human Pose Estimation +17

Action Schema Networks: Generalised Policies with Deep Learning

Sam Toyer, Felipe Trevizan, Sylvie Thiébaux et al. · arXiv (Cornell University) · 2017 · 27 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +16

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