Sam Toyer
Sam Toyer
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Cited by
Cited by
Variational discriminator bottleneck: Improving imitation learning, inverse rl, and gans by constraining information flow
XB Peng, A Kanazawa, S Toyer, P Abbeel, S Levine
arXiv preprint arXiv:1810.00821, 2018
Action Schema Networks: Generalised Policies with Deep Learning
S Toyer, F Trevizan, S Thiebaux, L Xie
AAAI Conference on Artificial Intelligence (AAAI), 2018
Human pose forecasting via deep Markov models
S Toyer, A Cherian, T Han, S Gould
International Conference on Digital Image Computing: Techniques and …, 2017
Publishing and Using Earth Observation Data with the RDF Data Cube and the Discrete Global Grid System
D Brizhinev, S Toyer, K Taylor, 2017
Generalised policies for probabilistic planning with deep learning
S Toyer
Research and development, honours thesis, Research School of Computer …, 2017
Guiding Search with Generalized Policies for Probabilistic Planning.
W Shen, FW Trevizan, S Toyer, S Thiébaux, L Xie
SOCS, 97-105, 2019
ASNets: Deep Learning for Generalised Planning
S Toyer, S Thiébaux, F Trevizan, L Xie
Journal of Artificial Intelligence Research 68, 1-68, 2020
Single image completion from retrieved image collections
S Gould, S Toyer, D Reiner
US Patent App. 16/394,410, 2019
Computer vision training using paired image data
S Gould, S Toyer, D Reiner
US Patent App. 16/360,954, 2019
QBCov: A Linked Data interface for Discrete Global Grid Systems, a new approach to delivering coverage data on the web
Z Zhang, S Toyer, D Brizhinev, M Ledger, K Taylor, MBJ Purss
AGUFM 2016, IN51C-1861, 2016
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